Paper Group NANR 93
Phylogenetic simulations over constraint-based grammar formalisms. Sentential Paraphrasing as Black-Box Machine Translation. Using Sequence Similarity Networks to Identify Partial Cognates in Multilingual Wordlists. Hypergraph Modelization of a Syntactically Annotated English Wikipedia Dump. Effective Greedy Inference for Graph-based Non-Projective …
Phylogenetic simulations over constraint-based grammar formalisms
| Title | Phylogenetic simulations over constraint-based grammar formalisms |
| Authors | Andrew Lamont, Jonathan Washington |
| Abstract | |
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| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/N16-2015/ |
| https://www.aclweb.org/anthology/N16-2015 | |
| PWC | https://paperswithcode.com/paper/phylogenetic-simulations-over-constraint |
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Sentential Paraphrasing as Black-Box Machine Translation
| Title | Sentential Paraphrasing as Black-Box Machine Translation |
| Authors | Courtney Napoles, Chris Callison-Burch, Matt Post |
| Abstract | |
| Tasks | Grammatical Error Correction, Language Modelling, Machine Translation |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/N16-3013/ |
| https://www.aclweb.org/anthology/N16-3013 | |
| PWC | https://paperswithcode.com/paper/sentential-paraphrasing-as-black-box-machine |
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Using Sequence Similarity Networks to Identify Partial Cognates in Multilingual Wordlists
| Title | Using Sequence Similarity Networks to Identify Partial Cognates in Multilingual Wordlists |
| Authors | Johann-Mattis List, Philippe Lopez, Eric Bapteste |
| Abstract | |
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| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/P16-2097/ |
| https://www.aclweb.org/anthology/P16-2097 | |
| PWC | https://paperswithcode.com/paper/using-sequence-similarity-networks-to |
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Hypergraph Modelization of a Syntactically Annotated English Wikipedia Dump
| Title | Hypergraph Modelization of a Syntactically Annotated English Wikipedia Dump |
| Authors | Edmundo Pavel Soriano Morales, Julien Ah-Pine, Sabine Loudcher |
| Abstract | Wikipedia, the well known internet encyclopedia, is nowadays a widely used source of information. To leverage its rich information, already parsed versions of Wikipedia have been proposed. We present an annotated dump of the English Wikipedia. This dump draws upon previously released Wikipedia parsed dumps. Still, we head in a different direction. In this parse we focus more into the syntactical characteristics of words: aside from the classical Part-of-Speech (PoS) tags and dependency parsing relations, we provide the full constituent parse branch for each word in a succinct way. Additionally, we propose a hypergraph network representation of the extracted linguistic information. The proposed modelization aims to take advantage of the information stocked within our parsed Wikipedia dump. We hope that by releasing these resources, researchers from the concerned communities will have a ready-to-experiment Wikipedia corpus to compare and distribute their work. We render public our parsed Wikipedia dump as well as the tool (and its source code) used to perform the parse. The hypergraph network and its related metadata is also distributed. |
| Tasks | Dependency Parsing |
| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1372/ |
| https://www.aclweb.org/anthology/L16-1372 | |
| PWC | https://paperswithcode.com/paper/hypergraph-modelization-of-a-syntactically |
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Effective Greedy Inference for Graph-based Non-Projective Dependency Parsing
| Title | Effective Greedy Inference for Graph-based Non-Projective Dependency Parsing |
| Authors | Ilan Tchernowitz, Liron Yedidsion, Roi Reichart |
| Abstract | |
| Tasks | Dependency Parsing, Opinion Mining, Word Embeddings |
| Published | 2016-11-01 |
| URL | https://www.aclweb.org/anthology/D16-1068/ |
| https://www.aclweb.org/anthology/D16-1068 | |
| PWC | https://paperswithcode.com/paper/effective-greedy-inference-for-graph-based |
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Separating Actor-View from Speaker-View Opinion Expressions using Linguistic Features
| Title | Separating Actor-View from Speaker-View Opinion Expressions using Linguistic Features |
| Authors | Michael Wiegand, Marc Schulder, Josef Ruppenhofer |
| Abstract | |
| Tasks | Sentiment Analysis |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/papers/N16-1092/n16-1092 |
| https://www.aclweb.org/anthology/N16-1092 | |
| PWC | https://paperswithcode.com/paper/separating-actor-view-from-speaker-view |
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Identifying the Names of Complex Search Tasks with Task-Related Entities
| Title | Identifying the Names of Complex Search Tasks with Task-Related Entities |
| Authors | Ting-Xuan Wang, Wen-Hsiang Lu |
| Abstract | |
| Tasks | |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/O16-2004/ |
| https://www.aclweb.org/anthology/O16-2004 | |
| PWC | https://paperswithcode.com/paper/identifying-the-names-of-complex-search-tasks |
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Giving Lexical Resources a Second Life: D'emonette, a Multi-sourced Morpho-semantic Network for French
| Title | Giving Lexical Resources a Second Life: D'emonette, a Multi-sourced Morpho-semantic Network for French |
| Authors | Nabil Hathout, Fiammetta Namer |
| Abstract | D{'e}monette is a derivational morphological network designed for the description of French. Its original architecture enables its use as a formal framework for the description of morphological analyses and as a repository for existing lexicons. It is fed with a variety of resources, which all are already validated. The harmonization of their content into a unified format provides them a second life, in which they are enriched with new properties, provided these are deductible from their contents. D{'e}monette is released under a Creative Commons license. It is usable for theoretical and descriptive research in morphology, as a source of experimental material for psycholinguistics, natural language processing (NLP) and information retrieval (IR), where it fills a gap, since French lacks a large-coverage derivational resources database. The article presents the integration of two existing lexicons into D{'e}monette. The first is Verbaction, a lexicon of deverbal action nouns. The second is Lexeur, a database of agent nouns in -eur derived from verbs or from nouns. |
| Tasks | Information Retrieval |
| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1173/ |
| https://www.aclweb.org/anthology/L16-1173 | |
| PWC | https://paperswithcode.com/paper/giving-lexical-resources-a-second-life |
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Aspect based Sentiment Analysis in Hindi: Resource Creation and Evaluation
| Title | Aspect based Sentiment Analysis in Hindi: Resource Creation and Evaluation |
| Authors | Md Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya |
| Abstract | Due to the phenomenal growth of online product reviews, sentiment analysis (SA) has gained huge attention, for example, by online service providers. A number of benchmark datasets for a wide range of domains have been made available for sentiment analysis, especially in resource-rich languages. In this paper we assess the challenges of SA in Hindi by providing a benchmark setup, where we create an annotated dataset of high quality, build machine learning models for sentiment analysis in order to show the effective usage of the dataset, and finally make the resource available to the community for further advancement of research. The dataset comprises of Hindi product reviews crawled from various online sources. Each sentence of the review is annotated with aspect term and its associated sentiment. As classification algorithms we use Conditional Random Filed (CRF) and Support Vector Machine (SVM) for aspect term extraction and sentiment analysis, respectively. Evaluation results show the average F-measure of 41.07{%} for aspect term extraction and accuracy of 54.05{%} for sentiment classification. |
| Tasks | Aspect-Based Sentiment Analysis, Sentiment Analysis |
| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1429/ |
| https://www.aclweb.org/anthology/L16-1429 | |
| PWC | https://paperswithcode.com/paper/aspect-based-sentiment-analysis-in-hindi |
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QGASP: a Framework for Question Generation Based on Different Levels of Linguistic Information
| Title | QGASP: a Framework for Question Generation Based on Different Levels of Linguistic Information |
| Authors | Hugo Patinho Rodrigues, Lu{'\i}sa Coheur, Eric Nyberg |
| Abstract | |
| Tasks | Question Generation, Text Generation |
| Published | 2016-09-01 |
| URL | https://www.aclweb.org/anthology/W16-6640/ |
| https://www.aclweb.org/anthology/W16-6640 | |
| PWC | https://paperswithcode.com/paper/qgasp-a-framework-for-question-generation |
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The AFRL-MITLL WMT16 News-Translation Task Systems
| Title | The AFRL-MITLL WMT16 News-Translation Task Systems |
| Authors | Jeremy Gwinnup, Tim Anderson, Grant Erdmann, Katherine Young, Michaeel Kazi, Elizabeth Salesky, Brian Thompson |
| Abstract | |
| Tasks | Language Modelling, Machine Translation, Transliteration |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-2313/ |
| https://www.aclweb.org/anthology/W16-2313 | |
| PWC | https://paperswithcode.com/paper/the-afrl-mitll-wmt16-news-translation-task |
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The Edinburgh/LMU Hierarchical Machine Translation System for WMT 2016
| Title | The Edinburgh/LMU Hierarchical Machine Translation System for WMT 2016 |
| Authors | Matthias Huck, Alex Fraser, er, Barry Haddow |
| Abstract | |
| Tasks | Machine Translation |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-2315/ |
| https://www.aclweb.org/anthology/W16-2315 | |
| PWC | https://paperswithcode.com/paper/the-edinburghlmu-hierarchical-machine |
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Enhanced CORILGA: Introducing the Automatic Phonetic Alignment Tool for Continuous Speech
| Title | Enhanced CORILGA: Introducing the Automatic Phonetic Alignment Tool for Continuous Speech |
| Authors | Roberto Seara, Marta Martinez, Roc{'\i}o Varela, Carmen Garc{'\i}a Mateo, Elisa Fern Rei, ez, Xos{'e} Luis Regueira |
| Abstract | The {``}Corpus Oral Informatizado da Lingua Galega (CORILGA){''} project aims at building a corpus of oral language for Galician, primarily designed to study the linguistic variation and change. This project is currently under development and it is periodically enriched with new contributions. The long-term goal is that all the speech recordings will be enriched with phonetic, syllabic, morphosyntactic, lexical and sentence ELAN-complaint annotations. A way to speed up the process of annotation is to use automatic speech-recognition-based tools tailored to the application. Therefore, CORILGA repository has been enhanced with an automatic alignment tool, available to the administrator of the repository, that aligns speech with an orthographic transcription. In the event that no transcription, or just a partial one, were available, a speech recognizer for Galician is used to generate word and phonetic segmentations. These recognized outputs may contain errors that will have to be manually corrected by the administrator. For assisting this task, the tool also provides an ELAN tier with the confidence measure of each recognized word. In this paper, after the description of the main facts of the CORILGA corpus, the speech alignment and recognition tools are described. Both have been developed using the Kaldi toolkit. | |
| Tasks | Speech Recognition |
| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1616/ |
| https://www.aclweb.org/anthology/L16-1616 | |
| PWC | https://paperswithcode.com/paper/enhanced-corilga-introducing-the-automatic |
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Constraints Based Convex Belief Propagation
| Title | Constraints Based Convex Belief Propagation |
| Authors | YAniv Tenzer, Alex Schwing, Kevin Gimpel, Tamir Hazan |
| Abstract | Inference in Markov random fields subject to consistency structure is a fundamental problem that arises in many real-life applications. In order to enforce consistency, classical approaches utilize consistency potentials or encode constraints over feasible instances. Unfortunately this comes at the price of a serious computational bottleneck. In this paper we suggest to tackle consistency by incorporating constraints on beliefs. This permits derivation of a closed-form message-passing algorithm which we refer to as the Constraints Based Convex Belief Propagation (CBCBP). Experiments show that CBCBP outperforms the standard approach while being at least an order of magnitude faster. |
| Tasks | |
| Published | 2016-12-01 |
| URL | http://papers.nips.cc/paper/6219-constraints-based-convex-belief-propagation |
| http://papers.nips.cc/paper/6219-constraints-based-convex-belief-propagation.pdf | |
| PWC | https://paperswithcode.com/paper/constraints-based-convex-belief-propagation |
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Dependency Parsing with Bounded Block Degree and Well-nestedness via Lagrangian Relaxation and Branch-and-Bound
| Title | Dependency Parsing with Bounded Block Degree and Well-nestedness via Lagrangian Relaxation and Branch-and-Bound |
| Authors | Caio Corro, Joseph Le Roux, Mathieu Lacroix, Antoine Rozenknop, Roberto Wolfler Calvo |
| Abstract | |
| Tasks | Dependency Parsing |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/P16-1034/ |
| https://www.aclweb.org/anthology/P16-1034 | |
| PWC | https://paperswithcode.com/paper/dependency-parsing-with-bounded-block-degree |
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