Publications

Rabs, Elisabeth; Drenhaus, Heiner; Delogu, Francesca; Crocker, Matthew W.

The influence of script knowledge on language processing: Evidence from ERPs Journal Article

23rd AMLaP Conference, Lancaster, UK, 2017.

@article{Rabs2017,
title = {The influence of script knowledge on language processing: Evidence from ERPs},
author = {Elisabeth Rabs and Heiner Drenhaus and Francesca Delogu and Matthew W. Crocker},
year = {2017},
date = {2017-09-09},
publisher = {23rd AMLaP Conference},
address = {Lancaster, UK},
pubstate = {published},
type = {article}
}

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Project:   A1

Delogu, Francesca; Brouwer, Harm; Crocker, Matthew W.

The influence of lexical priming versus event knowledge on the N400 and the P600 Inproceedings

23rd AMLaP Conference, Lancaster, UK, 2017.

@inproceedings{Delogu2017b,
title = {The influence of lexical priming versus event knowledge on the N400 and the P600},
author = {Francesca Delogu and Harm Brouwer and Matthew W. Crocker},
year = {2017},
date = {2017-09-09},
publisher = {23rd AMLaP Conference},
address = {Lancaster, UK},
pubstate = {published},
type = {inproceedings}
}

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Project:   A1

Simova, Iliana; Uszkoreit, Hans

Word Embeddings as Features for Supervised Coreference Resolution Inproceedings

Proceedings of Recent Advances in Natural Language Processing, 2017.

@inproceedings{simova:2017,
title = {Word Embeddings as Features for Supervised Coreference Resolution},
author = {Iliana Simova and Hans Uszkoreit},
year = {2017},
date = {2017-09-01},
booktitle = {Proceedings of Recent Advances in Natural Language Processing},
keywords = {B5, sfb 1102},
pubstate = {published},
type = {inproceedings}
}

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Project:   B5

Le Maguer, Sébastien; Steiner, Ingmar

The "Uprooted" MaryTTS Entry for the Blizzard Challenge 2017 Inproceedings

Blizzard Challenge, Stockholm, Sweden, 2017.

@inproceedings{LeMaguer2017BC,
title = {The "Uprooted" MaryTTS Entry for the Blizzard Challenge 2017},
author = {S{\'e}bastien Le Maguer and Ingmar Steiner},
year = {2017},
date = {2017-08-25},
booktitle = {Blizzard Challenge},
address = {Stockholm, Sweden},
pubstate = {published},
type = {inproceedings}
}

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Project:   C5

Gessinger, Iona; Raveh, Eran; Le Maguer, Sébastien; Möbius, Bernd; Steiner, Ingmar

Shadowing Synthesized Speech - Segmental Analysis of Phonetic Convergence Inproceedings

Interspeech, pp. 3797-3801, Stockholm, Sweden, 2017.

@inproceedings{Gessinger2017IS,
title = {Shadowing Synthesized Speech - Segmental Analysis of Phonetic Convergence},
author = {Iona Gessinger and Eran Raveh and S{\'e}bastien Le Maguer and Bernd M{\"o}bius and Ingmar Steiner},
url = {https://www.isca-speech.org/archive/Interspeech_2017/pdfs/1433.PDF},
year = {2017},
date = {2017-08-24},
booktitle = {Interspeech},
pages = {3797-3801},
address = {Stockholm, Sweden},
pubstate = {published},
type = {inproceedings}
}

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Project:   C5

Le Maguer, Sébastien; Steiner, Ingmar; Hewer, Alexander

An HMM/DNN comparison for synchronized text-to-speech and tongue motion synthesis Inproceedings

Interspeech, pp. 239-243, Stockholm, Sweden, 2017.

@inproceedings{LeMaguer2017IS,
title = {An HMM/DNN comparison for synchronized text-to-speech and tongue motion synthesis},
author = {S{\'e}bastien Le Maguer and Ingmar Steiner and Alexander Hewer},
url = {https://www.isca-speech.org/archive/Interspeech_2017/pdfs/0936.PDF},
year = {2017},
date = {2017-08-21},
booktitle = {Interspeech},
pages = {239-243},
address = {Stockholm, Sweden},
pubstate = {published},
type = {inproceedings}
}

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Project:   C5

Delogu, Francesca; Brouwer, Harm; Crocker, Matthew W.

The P600 - not the N400 - indexes semantic integration Inproceedings

9th Annual Meeting of the Society for the Neurobiology of Language (SNL), Baltimore, US, 2017.

@inproceedings{Delogu2017c,
title = {The P600 - not the N400 - indexes semantic integration},
author = {Francesca Delogu and Harm Brouwer and Matthew W. Crocker},
year = {2017},
date = {2017-08-11},
publisher = {9th Annual Meeting of the Society for the Neurobiology of Language (SNL)},
address = {Baltimore, US},
pubstate = {published},
type = {inproceedings}
}

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Project:   A1

Oualil, Youssef; Klakow, Dietrich

A batch noise contrastive estimation approach for training large vocabulary language models Inproceedings

18th Annual Conference of the International Speech Communication Association (INTERSPEECH), 2017.

@inproceedings{Oualil2017,
title = {A batch noise contrastive estimation approach for training large vocabulary language models},
author = {Youssef Oualil and Dietrich Klakow},
year = {2017},
date = {2017},
publisher = {18th Annual Conference of the International Speech Communication Association (INTERSPEECH)},
pubstate = {published},
type = {inproceedings}
}

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Project:   B4

Brandt, Erika; Zimmerer, Frank; Möbius, Bernd; Andreeva, Bistra

Mel-cepstral distortion of German vowels in different information density contexts Inproceedings

Proceedings of Interspeech, Stockholm, Sweden, 2017.

@inproceedings{Brandt/etal:2017,
title = {Mel-cepstral distortion of German vowels in different information density contexts},
author = {Erika Brandt and Frank Zimmerer and Bernd M{\"o}bius and Bistra Andreeva},
year = {2017},
date = {2017-08-01},
booktitle = {Proceedings of Interspeech},
address = {Stockholm, Sweden},
pubstate = {published},
type = {inproceedings}
}

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Project:   C1

Horch, Eva; Reich, Ingo

The Fragment Corpus Inproceedings

Proceedings of the 9th International Corpus Linguistics Conference, pp. 392-393, Birmingham, UK, 2017.

@inproceedings{HorchReich:17,
title = {The Fragment Corpus},
author = {Eva Horch and Ingo Reich},
year = {2017},
date = {2017},
booktitle = {Proceedings of the 9th International Corpus Linguistics Conference},
pages = {392-393},
address = {Birmingham, UK},
pubstate = {published},
type = {inproceedings}
}

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Project:   B3

Wanzare, Lilian Diana Awuor; Zarcone, Alessandra; Thater, Stefan; Pinkal, Manfred

Inducing Script Structure from Crowdsourced Event Descriptions via Semi-Supervised Clustering Inproceedings

Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics, Association for Computational Linguistics, pp. 1-11, Valencia, Spain, 2017.

We present a semi-supervised clustering approach to induce script structure from crowdsourced descriptions of event sequences by grouping event descriptions into paraphrase sets (representing event types) and inducing their temporal order. Our approach exploits semantic and positional similarity and allows for flexible event order, thus overcoming the rigidity of previous approaches. We incorporate crowdsourced alignments as prior knowledge and show that exploiting a small number of alignments results in a substantial improvement in cluster quality over state-of-the-art models and provides an appropriate basis for the induction of temporal order. We also show a coverage study to demonstrate the scalability of our approach.

@inproceedings{wanzare-EtAl:2017:LSDSem,
title = {Inducing Script Structure from Crowdsourced Event Descriptions via Semi-Supervised Clustering},
author = {Lilian Diana Awuor Wanzare and Alessandra Zarcone and Stefan Thater and Manfred Pinkal},
url = {https://www.aclweb.org/anthology/W17-0901},
doi = {https://doi.org/10.18653/v1/W17-0901},
year = {2017},
date = {2017},
booktitle = {Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics},
pages = {1-11},
publisher = {Association for Computational Linguistics},
address = {Valencia, Spain},
abstract = {We present a semi-supervised clustering approach to induce script structure from crowdsourced descriptions of event sequences by grouping event descriptions into paraphrase sets (representing event types) and inducing their temporal order. Our approach exploits semantic and positional similarity and allows for flexible event order, thus overcoming the rigidity of previous approaches. We incorporate crowdsourced alignments as prior knowledge and show that exploiting a small number of alignments results in a substantial improvement in cluster quality over state-of-the-art models and provides an appropriate basis for the induction of temporal order. We also show a coverage study to demonstrate the scalability of our approach.},
pubstate = {published},
type = {inproceedings}
}

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Project:   A2

Brouwer, Harm; Crocker, Matthew W.; Venhuizen, Noortje; Hoeks, John

A neurocomputational model of the N400 and P600 in language processing Journal Article

Cognitive Sciences, 41, pp. 1318-1352, 2017.

@article{Brouwer2017,
title = {A neurocomputational model of the N400 and P600 in language processing},
author = {Harm Brouwer and Matthew W. Crocker and Noortje Venhuizen and John Hoeks},
year = {2017},
date = {2017},
journal = {Cognitive Sciences},
pages = {1318-1352},
volume = {41},
pubstate = {published},
type = {article}
}

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Project:   A1

Raveh, Eran; Gessinger, Iona; Le Maguer, Sébastien; Möbius, Bernd; Steiner, Ingmar

Investigating Phonetic Convergence in a Shadowing Experiment with Synthetic Stimuli Inproceedings

Trouvain, Jürgen; Steiner, Ingmar; Möbius, Bernd;  (Ed.): 28th Conference on Electronic Speech Signal Processing (ESSV), pp. 254-261, Saarbrücken, Germany, 2017.

@inproceedings{Raveh2017ESSV,
title = {Investigating Phonetic Convergence in a Shadowing Experiment with Synthetic Stimuli},
author = {Eran Raveh and Iona Gessinger and S{\'e}bastien Le Maguer and Bernd M{\"o}bius and Ingmar Steiner},
editor = {J{\"u}rgen Trouvain and Ingmar Steiner and Bernd M{\"o}bius},
url = {http://essv2017.coli.uni-saarland.de/pdfs/Raveh.pdf},
year = {2017},
date = {2017-03-16},
booktitle = {28th Conference on Electronic Speech Signal Processing (ESSV)},
pages = {254-261},
address = {Saarbr{\"u}cken, Germany},
pubstate = {published},
type = {inproceedings}
}

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Project:   C5

Steiner, Ingmar; Le Maguer, Sébastien; Manzoni, Judith; Gilles, Peter; Trouvain, Jürgen

Developing new language tools for MaryTTS: the case of Luxembourgish Inproceedings

Trouvain, Jürgen; Steiner, Ingmar; Möbius, Bernd;  (Ed.): 28th Conference on Electronic Speech Signal Processing (ESSV), pp. 186-192, Saarbrücken, Germany, 2017.

@inproceedings{Steiner2017ESSVb,
title = {Developing new language tools for MaryTTS: the case of Luxembourgish},
author = {Ingmar Steiner and S{\'e}bastien Le Maguer and Judith Manzoni and Peter Gilles and J{\"u}rgen Trouvain},
editor = {J{\"u}rgen Trouvain and Ingmar Steiner and Bernd M{\"o}bius},
url = {http://essv2017.coli.uni-saarland.de/pdfs/Steiner_1.pdf},
year = {2017},
date = {2017-03-16},
booktitle = {28th Conference on Electronic Speech Signal Processing (ESSV)},
pages = {186-192},
address = {Saarbr{\"u}cken, Germany},
pubstate = {published},
type = {inproceedings}
}

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Project:   C5

Zimmerer, Frank; Andreeva, Bistra; Möbius, Bernd; Malisz, Zofia; Ferragne, Emmanuel; Pellegrino, François; Brandt, Erika

Perzeption von Sprechgeschwindigkeit und der (nicht nachgewiesene) Einfluss von Surprisal Inproceedings

Möbius, Bernd;  (Ed.): Elektronische Sprachsignalverarbeitung 2017 - Tagungsband der 28. Konferenz, Saarbrücken, 15.-17. März 2017. Studientexte zur Sprachkommunikation, Band 86, pp. 174-179, 2017.

@inproceedings{Zimmerer/etal:2017a,
title = {Perzeption von Sprechgeschwindigkeit und der (nicht nachgewiesene) Einfluss von Surprisal},
author = {Frank Zimmerer and Bistra Andreeva and Bernd M{\"o}bius and Zofia Malisz and Emmanuel Ferragne and François Pellegrino and Erika Brandt},
editor = {Bernd M{\"o}bius},
year = {2017},
date = {2017-03-15},
booktitle = {Elektronische Sprachsignalverarbeitung 2017 - Tagungsband der 28. Konferenz, Saarbr{\"u}cken, 15.-17. M{\"a}rz 2017. Studientexte zur Sprachkommunikation, Band 86},
pages = {174-179},
pubstate = {published},
type = {inproceedings}
}

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Project:   C1

Le Maguer, Sébastien; Steiner, Ingmar

Uprooting MaryTTS: Agile Processing and Voicebuilding Inproceedings

Trouvain, Jürgen; Steiner, Ingmar; Möbius, Bernd;  (Ed.): 28th Conference on Electronic Speech Signal Processing (ESSV), pp. 152-159, Saarbrücken, Germany, 2017.

@inproceedings{LeMaguer2017ESSV,
title = {Uprooting MaryTTS: Agile Processing and Voicebuilding},
author = {S{\'e}bastien Le Maguer and Ingmar Steiner},
editor = {J{\"u}rgen Trouvain and Ingmar Steiner and Bernd M{\"o}bius},
url = {http://essv2017.coli.uni-saarland.de/pdfs/LeMaguer.pdf},
year = {2017},
date = {2017-03-15},
booktitle = {28th Conference on Electronic Speech Signal Processing (ESSV)},
pages = {152-159},
address = {Saarbr{\"u}cken, Germany},
pubstate = {published},
type = {inproceedings}
}

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Project:   C5

Singh, Mittul; Greenberg, Clayton; Oualil, Youssef; Klakow, Dietrich

Sub-Word Similarity based Search for Embeddings: Inducing Rare-Word Embeddings for Word Similarity Tasks and Language Modelling Inproceedings

Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, The COLING 2016 Organizing Committee, Osaka, Japan, 2016.

Training good word embeddings requires large amounts of data. Out-of-vocabulary words will still be encountered at test-time, leaving these words without embeddings. To overcome this lack of embeddings for rare words, existing methods leverage morphological features to generate embeddings. While the existing methods use computationally-intensive rule-based (Soricut and Och, 2015) or tool-based (Botha and Blunsom, 2014) morphological analysis to generate embeddings, our system applies a computationally-simpler sub-word search on words that have existing embeddings.

Embeddings of the sub-word search results are then combined using string similarity functions to generate rare word embeddings. We augmented pre-trained word embeddings with these novel embeddings and evaluated on a rare word similarity task, obtaining up to 3 times improvement in correlation over the original set of embeddings. Applying our technique to embeddings trained on larger datasets led to on-par performance with the existing state-of-the-art for this task. Additionally, while analysing augmented embeddings in a log-bilinear language model, we observed up to 50% reduction in rare word perplexity in comparison to other more complex language models.

@inproceedings{singh-EtAl:2016:COLING1,
title = {Sub-Word Similarity based Search for Embeddings: Inducing Rare-Word Embeddings for Word Similarity Tasks and Language Modelling},
author = {Mittul Singh and Clayton Greenberg and Youssef Oualil and Dietrich Klakow},
url = {http://aclweb.org/anthology/C16-1194},
year = {2016},
date = {2016-12-01},
booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
publisher = {The COLING 2016 Organizing Committee},
address = {Osaka, Japan},
abstract = {Training good word embeddings requires large amounts of data. Out-of-vocabulary words will still be encountered at test-time, leaving these words without embeddings. To overcome this lack of embeddings for rare words, existing methods leverage morphological features to generate embeddings. While the existing methods use computationally-intensive rule-based (Soricut and Och, 2015) or tool-based (Botha and Blunsom, 2014) morphological analysis to generate embeddings, our system applies a computationally-simpler sub-word search on words that have existing embeddings. Embeddings of the sub-word search results are then combined using string similarity functions to generate rare word embeddings. We augmented pre-trained word embeddings with these novel embeddings and evaluated on a rare word similarity task, obtaining up to 3 times improvement in correlation over the original set of embeddings. Applying our technique to embeddings trained on larger datasets led to on-par performance with the existing state-of-the-art for this task. Additionally, while analysing augmented embeddings in a log-bilinear language model, we observed up to 50% reduction in rare word perplexity in comparison to other more complex language models.},
pubstate = {published},
type = {inproceedings}
}

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Project:   B4

Schwenger, Maximilian; Torralba, Álvaro; Hoffmann, Jörg; Howcroft, David M.; Demberg, Vera

From OpenCCG to AI Planning: Detecting Infeasible Edges in Sentence Generation Inproceedings

Calzolari, Nicoletta; Matsumoto, Yuji; Prasad, Rashmi (Ed.): COLING 2016, 26th International Conference on Computational Linguistics, Proceedings of the Conference: Technical Papers, ACL, pp. 1524-1534, Osaka, 2016, ISBN 978-4-87974-702-0.

@inproceedings{DBLP:conf/coling/SchwengerTHHD16,
title = {From OpenCCG to AI Planning: Detecting Infeasible Edges in Sentence Generation},
author = {Maximilian Schwenger and {\'A}lvaro Torralba and J{\"o}rg Hoffmann and David M. Howcroft and Vera Demberg},
editor = {Nicoletta Calzolari and Yuji Matsumoto and Rashmi Prasad},
url = {http://aclweb.org/anthology/C/C16/C16-1144.pdf},
year = {2016},
date = {2016-12-01},
booktitle = {COLING 2016, 26th International Conference on Computational Linguistics, Proceedings of the Conference: Technical Papers},
isbn = {978-4-87974-702-0},
pages = {1524-1534},
publisher = {ACL},
address = {Osaka},
pubstate = {published},
type = {inproceedings}
}

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Project:   A4

Stenger, Irina

How reading intercomprehension works among Slavic languages with Cyrillic script Inproceedings

Köllner, Marisa; Ziai, Ramon (Ed.): ESSLLI 2016, pp. 30-42, 2016.

@inproceedings{Stenger2016,
title = {How reading intercomprehension works among Slavic languages with Cyrillic script},
author = {Irina Stenger},
editor = {Marisa K{\"o}llner and Ramon Ziai},
year = {2016},
date = {2016},
pages = {30-42},
publisher = {ESSLLI 2016},
pubstate = {published},
type = {inproceedings}
}

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Project:   C4

Calvillo, Jesús; Brouwer, Harm; Crocker, Matthew W.

Connectionist semantic systematicity in language production Inproceedings

38th Annual Conference of the Cognitive Science Society, Austin, Texas, USA, 2016.

@inproceedings{Calvillo2016,
title = {Connectionist semantic systematicity in language production},
author = {Jesús Calvillo and Harm Brouwer and Matthew W. Crocker},
year = {2016},
date = {2016},
publisher = {38th Annual Conference of the Cognitive Science Society},
address = {Austin, Texas, USA},
pubstate = {published},
type = {inproceedings}
}

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Project:   C3

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