Paper Group NANR 97
CobaltF: A Fluent Metric for MT Evaluation. Regular polysemy: from sense vectors to sense patterns. Linguistically Aware Information Retrieval: Providing Input Enrichment for Second Language Learners. Graph-based Semi-supervised Gene Mention Tagging. Syntactic Well-Formedness Diagnosis and Error-Based Coaching in Computer Assisted Language Learning …
CobaltF: A Fluent Metric for MT Evaluation
| Title | CobaltF: A Fluent Metric for MT Evaluation |
| Authors | Marina Fomicheva, N{'u}ria Bel, Lucia Specia, Iria da Cunha, Anton Malinovskiy |
| Abstract | |
| Tasks | Language Modelling, Machine Translation, Speech Recognition |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-2339/ |
| https://www.aclweb.org/anthology/W16-2339 | |
| PWC | https://paperswithcode.com/paper/cobaltf-a-fluent-metric-for-mt-evaluation |
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Regular polysemy: from sense vectors to sense patterns
| Title | Regular polysemy: from sense vectors to sense patterns |
| Authors | Anastasiya Lopukhina, Konstantin Lopukhin |
| Abstract | Regular polysemy was extensively investigated in lexical semantics, but this phenomenon has been very little studied in distributional semantics. We propose a model for regular polysemy detection that is based on sense vectors and allows to work directly with senses in semantic vector space. Our method is able to detect polysemous words that have the same regular sense alternation as in a given example (a word with two automatically induced senses that represent one polysemy pattern, such as ANIMAL / FOOD). The method works equally well for nouns, verbs and adjectives and achieves average recall of 0.55 and average precision of 0.59 for ten different polysemy patterns. |
| Tasks | Word Embeddings, Word Sense Disambiguation |
| Published | 2016-12-01 |
| URL | https://www.aclweb.org/anthology/W16-5303/ |
| https://www.aclweb.org/anthology/W16-5303 | |
| PWC | https://paperswithcode.com/paper/regular-polysemy-from-sense-vectors-to-sense |
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Linguistically Aware Information Retrieval: Providing Input Enrichment for Second Language Learners
| Title | Linguistically Aware Information Retrieval: Providing Input Enrichment for Second Language Learners |
| Authors | Maria Chinkina, Detmar Meurers |
| Abstract | |
| Tasks | Information Retrieval, Language Acquisition |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/W16-0521/ |
| https://www.aclweb.org/anthology/W16-0521 | |
| PWC | https://paperswithcode.com/paper/linguistically-aware-information-retrieval |
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Graph-based Semi-supervised Gene Mention Tagging
| Title | Graph-based Semi-supervised Gene Mention Tagging |
| Authors | Golnar Sheikhshab, Elizabeth Starks, Aly Karsan, Anoop Sarkar, Inanc Birol |
| Abstract | |
| Tasks | Named Entity Recognition |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-2904/ |
| https://www.aclweb.org/anthology/W16-2904 | |
| PWC | https://paperswithcode.com/paper/graph-based-semi-supervised-gene-mention |
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Syntactic Well-Formedness Diagnosis and Error-Based Coaching in Computer Assisted Language Learning using Machine Translation
| Title | Syntactic Well-Formedness Diagnosis and Error-Based Coaching in Computer Assisted Language Learning using Machine Translation |
| Authors | Luis Morgado da Costa, Francis Bond, Xiaoling He |
| Abstract | We present a novel approach to Computer Assisted Language Learning (CALL), using deep syntactic parsers and semantic based machine translation (MT) in diagnosing and providing explicit feedback on language learners{'} errors. We are currently developing a proof of concept system showing how semantic-based machine translation can, in conjunction with robust computational grammars, be used to interact with students, better understand their language errors, and help students correct their grammar through a series of useful feedback messages and guided language drills. Ultimately, we aim to prove the viability of a new integrated rule-based MT approach to disambiguate students{'} intended meaning in a CALL system. This is a necessary step to provide accurate coaching on how to correct ungrammatical input, and it will allow us to overcome a current bottleneck in the field {—} an exponential burst of ambiguity caused by ambiguous lexical items (Flickinger, 2010). From the users{'} interaction with the system, we will also produce a richly annotated Learner Corpus, annotated automatically with both syntactic and semantic information. |
| Tasks | Machine Translation |
| Published | 2016-12-01 |
| URL | https://www.aclweb.org/anthology/W16-4914/ |
| https://www.aclweb.org/anthology/W16-4914 | |
| PWC | https://paperswithcode.com/paper/syntactic-well-formedness-diagnosis-and-error |
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Multiword Expressions in Child Language
| Title | Multiword Expressions in Child Language |
| Authors | Rodrigo Wilkens, Marco Idiart, Aline Villavicencio |
| Abstract | The goal of this work is to introduce CHILDES-MWE, which contains English CHILDES corpora automatically annotated with Multiword Expressions (MWEs) information. The result is a resource with almost 350,000 sentences annotated with more than 70,000 distinct MWEs of various types from both longitudinal and latitudinal corpora. This resource can be used for large scale language acquisition studies of how MWEs feature in child language. Focusing on compound nouns (CN), we then verify in a longitudinal study if there are differences in the distribution and compositionality of CNs in child-directed and child-produced sentences across ages. Moreover, using additional latitudinal data, we investigate if there are further differences in CN usage and in compositionality preferences. The results obtained for the child-produced sentences reflect CN distribution and compositionality in child-directed sentences. |
| Tasks | Language Acquisition |
| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1365/ |
| https://www.aclweb.org/anthology/L16-1365 | |
| PWC | https://paperswithcode.com/paper/multiword-expressions-in-child-language |
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A Neural Attention Model for Disfluency Detection
| Title | A Neural Attention Model for Disfluency Detection |
| Authors | Shaolei Wang, Wanxiang Che, Ting Liu |
| Abstract | In this paper, we study the problem of disfluency detection using the encoder-decoder framework. We treat disfluency detection as a sequence-to-sequence problem and propose a neural attention-based model which can efficiently model the long-range dependencies between words and make the resulting sentence more likely to be grammatically correct. Our model firstly encode the source sentence with a bidirectional Long Short-Term Memory (BI-LSTM) and then use the neural attention as a pointer to select an ordered sub sequence of the input as the output. Experiments show that our model achieves the state-of-the-art f-score of 86.7{%} on the commonly used English Switchboard test set. We also evaluate the performance of our model on the in-house annotated Chinese data and achieve a significantly higher f-score compared to the baseline of CRF-based approach. |
| Tasks | Information Retrieval |
| Published | 2016-12-01 |
| URL | https://www.aclweb.org/anthology/C16-1027/ |
| https://www.aclweb.org/anthology/C16-1027 | |
| PWC | https://paperswithcode.com/paper/a-neural-attention-model-for-disfluency |
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| Framework | |
Non-Literal Text Reuse in Historical Texts: An Approach to Identify Reuse Transformations and its Application to Bible Reuse
| Title | Non-Literal Text Reuse in Historical Texts: An Approach to Identify Reuse Transformations and its Application to Bible Reuse |
| Authors | Maria Moritz, Andreas Wiederhold, Barbara Pavlek, Yuri Bizzoni, Marco B{"u}chler |
| Abstract | |
| Tasks | |
| Published | 2016-11-01 |
| URL | https://www.aclweb.org/anthology/D16-1190/ |
| https://www.aclweb.org/anthology/D16-1190 | |
| PWC | https://paperswithcode.com/paper/non-literal-text-reuse-in-historical-texts-an |
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Probing for semantic evidence of composition by means of simple classification tasks
| Title | Probing for semantic evidence of composition by means of simple classification tasks |
| Authors | Allyson Ettinger, Ahmed Elgohary, Philip Resnik |
| Abstract | |
| Tasks | |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-2524/ |
| https://www.aclweb.org/anthology/W16-2524 | |
| PWC | https://paperswithcode.com/paper/probing-for-semantic-evidence-of-composition |
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Using Wikipedia and Semantic Resources to Find Answer Types and Appropriate Answer Candidate Sets in Question Answering
| Title | Using Wikipedia and Semantic Resources to Find Answer Types and Appropriate Answer Candidate Sets in Question Answering |
| Authors | Po-Chun Chen, Meng-Jie Zhuang, Chuan-Jie Lin |
| Abstract | This paper proposes a new idea that uses Wikipedia categories as answer types and defines candidate sets inside Wikipedia. The focus of a given question is searched in the hierarchy of Wikipedia main pages. Our searching strategy combines head-noun matching and synonym matching provided in semantic resources. The set of answer candidates is determined by the entry hierarchy in Wikipedia and the hyponymy hierarchy in WordNet. The experimental results show that the approach can find candidate sets in a smaller size but achieve better performance especially for ARTIFACT and ORGANIZATION types, where the performance is better than state-of-the-art Chinese factoid QA systems. |
| Tasks | Named Entity Recognition, Question Answering |
| Published | 2016-12-01 |
| URL | https://www.aclweb.org/anthology/W16-4401/ |
| https://www.aclweb.org/anthology/W16-4401 | |
| PWC | https://paperswithcode.com/paper/using-wikipedia-and-semantic-resources-to |
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A Study of the Impact of Persuasive Argumentation in Political Debates
| Title | A Study of the Impact of Persuasive Argumentation in Political Debates |
| Authors | Amparo Elizabeth Cano-Basave, Yulan He |
| Abstract | |
| Tasks | |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/N16-1166/ |
| https://www.aclweb.org/anthology/N16-1166 | |
| PWC | https://paperswithcode.com/paper/a-study-of-the-impact-of-persuasive |
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| Framework | |
A forward model at Purkinje cell synapses facilitates cerebellar anticipatory control
| Title | A forward model at Purkinje cell synapses facilitates cerebellar anticipatory control |
| Authors | Ivan Herreros, Xerxes Arsiwalla, Paul Verschure |
| Abstract | How does our motor system solve the problem of anticipatory control in spite of a wide spectrum of response dynamics from different musculo-skeletal systems, transport delays as well as response latencies throughout the central nervous system? To a great extent, our highly-skilled motor responses are a result of a reactive feedback system, originating in the brain-stem and spinal cord, combined with a feed-forward anticipatory system, that is adaptively fine-tuned by sensory experience and originates in the cerebellum. Based on that interaction we design the counterfactual predictive control (CFPC) architecture, an anticipatory adaptive motor control scheme in which a feed-forward module, based on the cerebellum, steers an error feedback controller with counterfactual error signals. Those are signals that trigger reactions as actual errors would, but that do not code for any current of forthcoming errors. In order to determine the optimal learning strategy, we derive a novel learning rule for the feed-forward module that involves an eligibility trace and operates at the synaptic level. In particular, our eligibility trace provides a mechanism beyond co-incidence detection in that it convolves a history of prior synaptic inputs with error signals. In the context of cerebellar physiology, this solution implies that Purkinje cell synapses should generate eligibility traces using a forward model of the system being controlled. From an engineering perspective, CFPC provides a general-purpose anticipatory control architecture equipped with a learning rule that exploits the full dynamics of the closed-loop system. |
| Tasks | |
| Published | 2016-12-01 |
| URL | http://papers.nips.cc/paper/6151-a-forward-model-at-purkinje-cell-synapses-facilitates-cerebellar-anticipatory-control |
| http://papers.nips.cc/paper/6151-a-forward-model-at-purkinje-cell-synapses-facilitates-cerebellar-anticipatory-control.pdf | |
| PWC | https://paperswithcode.com/paper/a-forward-model-at-purkinje-cell-synapses |
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Towards more variation in text generation: Developing and evaluating variation models for choice of referential form
| Title | Towards more variation in text generation: Developing and evaluating variation models for choice of referential form |
| Authors | Thiago Castro Ferreira, Emiel Krahmer, S Wubben, er |
| Abstract | |
| Tasks | Text Generation |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/P16-1054/ |
| https://www.aclweb.org/anthology/P16-1054 | |
| PWC | https://paperswithcode.com/paper/towards-more-variation-in-text-generation |
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EmpiriST 2015: A Shared Task on the Automatic Linguistic Annotation of Computer-Mediated Communication and Web Corpora
| Title | EmpiriST 2015: A Shared Task on the Automatic Linguistic Annotation of Computer-Mediated Communication and Web Corpora |
| Authors | Michael Bei{\ss}wenger, Sabine Bartsch, Stefan Evert, Kay-Michael W{"u}rzner |
| Abstract | |
| Tasks | Part-Of-Speech Tagging, Tokenization |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-2606/ |
| https://www.aclweb.org/anthology/W16-2606 | |
| PWC | https://paperswithcode.com/paper/empirist-2015-a-shared-task-on-the-automatic |
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UdS-(retrain|distributional|surface): Improving POS Tagging for OOV Words in German CMC and Web Data
| Title | UdS-(retrain |
| Authors | Jakob Prange, Andrea Horbach, Stefan Thater |
| Abstract | |
| Tasks | Language Modelling, Lemmatization, Part-Of-Speech Tagging |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-2608/ |
| https://www.aclweb.org/anthology/W16-2608 | |
| PWC | https://paperswithcode.com/paper/uds-retraindistributionalsurface-improving |
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