May 5, 2019

984 words 5 mins read

Paper Group NANR 18

Paper Group NANR 18

Vanilla Classifiers for Distinguishing between Similar Languages. Moses & Treex Hybrid MT Systems Bestiary. A Hybrid Approach for Deep Machine Translation. High-Fidelity Lexical Axiom Construction from Verb Glosses. Incorporation of a valency lexicon into a TectoMT pipeline. From distributions to labels: A lexical proficiency analysis using learne …

Vanilla Classifiers for Distinguishing between Similar Languages

Title Vanilla Classifiers for Distinguishing between Similar Languages
Authors Sergiu Nisioi, Alina Maria Ciobanu, Liviu P. Dinu
Abstract In this paper we describe the submission of the UniBuc-NLP team for the Discriminating between Similar Languages Shared Task, DSL 2016. We present and analyze the results we obtained in the closed track of sub-task 1 (Similar languages and language varieties) and sub-task 2 (Arabic dialects). For sub-task 1 we used a logistic regression classifier with tf-idf feature weighting and for sub-task 2 a character-based string kernel with an SVM classifier. Our results show that good accuracy scores can be obtained with limited feature and model engineering. While certain limitations are to be acknowledged, our approach worked surprisingly well for out-of-domain, social media data, with 0.898 accuracy (3rd place) for dataset B1 and 0.838 accuracy (4th place) for dataset B2.
Tasks Information Retrieval, Language Identification, Question Answering
Published 2016-12-01
URL https://www.aclweb.org/anthology/W16-4830/
PDF https://www.aclweb.org/anthology/W16-4830
PWC https://paperswithcode.com/paper/vanilla-classifiers-for-distinguishing
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Framework

Moses & Treex Hybrid MT Systems Bestiary

Title Moses & Treex Hybrid MT Systems Bestiary
Authors Rudolf Rosa, Martin Popel, Ond{\v{r}}ej Bojar, David Mare{\v{c}}ek, Ond{\v{r}}ej Du{\v{s}}ek
Abstract
Tasks Language Modelling, Machine Translation, Tokenization, Word Alignment
Published 2016-10-01
URL https://www.aclweb.org/anthology/W16-6401/
PDF https://www.aclweb.org/anthology/W16-6401
PWC https://paperswithcode.com/paper/moses-treex-hybrid-mt-systems-bestiary
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A Hybrid Approach for Deep Machine Translation

Title A Hybrid Approach for Deep Machine Translation
Authors Kiril Simov, Petya Osenova
Abstract
Tasks Machine Translation, Natural Language Inference, Word Sense Disambiguation
Published 2016-10-01
URL https://www.aclweb.org/anthology/W16-6403/
PDF https://www.aclweb.org/anthology/W16-6403
PWC https://paperswithcode.com/paper/a-hybrid-approach-for-deep-machine
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High-Fidelity Lexical Axiom Construction from Verb Glosses

Title High-Fidelity Lexical Axiom Construction from Verb Glosses
Authors Gene Kim, Lenhart Schubert
Abstract
Tasks
Published 2016-08-01
URL https://www.aclweb.org/anthology/S16-2004/
PDF https://www.aclweb.org/anthology/S16-2004
PWC https://paperswithcode.com/paper/high-fidelity-lexical-axiom-construction-from
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Incorporation of a valency lexicon into a TectoMT pipeline

Title Incorporation of a valency lexicon into a TectoMT pipeline
Authors Natalia Klyueva, Vladislav Kubo{\v{n}}
Abstract
Tasks Machine Translation
Published 2016-10-01
URL https://www.aclweb.org/anthology/W16-6406/
PDF https://www.aclweb.org/anthology/W16-6406
PWC https://paperswithcode.com/paper/incorporation-of-a-valency-lexicon-into-a
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From distributions to labels: A lexical proficiency analysis using learner corpora

Title From distributions to labels: A lexical proficiency analysis using learner corpora
Authors David Alfter, Yuri Bizzoni, Anders Agebj{"o}rn, Elena Volodina, Ildik{'o} Pil{'a}n
Abstract
Tasks
Published 2016-11-01
URL https://www.aclweb.org/anthology/W16-6501/
PDF https://www.aclweb.org/anthology/W16-6501
PWC https://paperswithcode.com/paper/from-distributions-to-labels-a-lexical
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WIKIPARQ: A Tabulated Wikipedia Resource Using the Parquet Format

Title WIKIPARQ: A Tabulated Wikipedia Resource Using the Parquet Format
Authors Marcus Klang, Pierre Nugues
Abstract Wikipedia has become one of the most popular resources in natural language processing and it is used in quantities of applications. However, Wikipedia requires a substantial pre-processing step before it can be used. For instance, its set of nonstandardized annotations, referred to as the wiki markup, is language-dependent and needs specific parsers from language to language, for English, French, Italian, etc. In addition, the intricacies of the different Wikipedia resources: main article text, categories, wikidata, infoboxes, scattered into the article document or in different files make it difficult to have global view of this outstanding resource. In this paper, we describe WikiParq, a unified format based on the Parquet standard to tabulate and package the Wikipedia corpora. In combination with Spark, a map-reduce computing framework, and the SQL query language, WikiParq makes it much easier to write database queries to extract specific information or subcorpora from Wikipedia, such as all the first paragraphs of the articles in French, or all the articles on persons in Spanish, or all the articles on persons that have versions in French, English, and Spanish. WikiParq is available in six language versions and is potentially extendible to all the languages of Wikipedia. The WikiParq files are downloadable as tarball archives from this location: http://semantica.cs.lth.se/wikiparq/.
Tasks
Published 2016-05-01
URL https://www.aclweb.org/anthology/L16-1654/
PDF https://www.aclweb.org/anthology/L16-1654
PWC https://paperswithcode.com/paper/wikiparq-a-tabulated-wikipedia-resource-using
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Word comprehension and multilingualism among toddlers: A study using touch screens in daycares

Title Word comprehension and multilingualism among toddlers: A study using touch screens in daycares
Authors Laia Fibla, Charlotte Maniel, Alej Cristia, rina
Abstract
Tasks Language Acquisition
Published 2016-11-01
URL https://www.aclweb.org/anthology/W16-6503/
PDF https://www.aclweb.org/anthology/W16-6503
PWC https://paperswithcode.com/paper/word-comprehension-and-multilingualism-among
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Proceedings of the 9th International Natural Language Generation conference

Title Proceedings of the 9th International Natural Language Generation conference
Authors
Abstract
Tasks Text Generation
Published 2016-09-01
URL https://www.aclweb.org/anthology/W16-6600/
PDF https://www.aclweb.org/anthology/W16-6600
PWC https://paperswithcode.com/paper/proceedings-of-the-9th-international-natural
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Framework

Simple, Fast Noise-Contrastive Estimation for Large RNN Vocabularies

Title Simple, Fast Noise-Contrastive Estimation for Large RNN Vocabularies
Authors Barret Zoph, Ashish Vaswani, Jonathan May, Kevin Knight
Abstract
Tasks Language Modelling, Machine Translation, Speech Recognition, Spelling Correction
Published 2016-06-01
URL https://www.aclweb.org/anthology/N16-1145/
PDF https://www.aclweb.org/anthology/N16-1145
PWC https://paperswithcode.com/paper/simple-fast-noise-contrastive-estimation-for
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Framework

Taking the best from the Crowd:Learning Question Passage Classification from Noisy Data

Title Taking the best from the Crowd:Learning Question Passage Classification from Noisy Data
Authors Azad Abad, Aless Moschitti, ro
Abstract
Tasks
Published 2016-08-01
URL https://www.aclweb.org/anthology/S16-2018/
PDF https://www.aclweb.org/anthology/S16-2018
PWC https://paperswithcode.com/paper/taking-the-best-from-the-crowdlearning
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Framework

Detecting Stance in Tweets And Analyzing its Interaction with Sentiment

Title Detecting Stance in Tweets And Analyzing its Interaction with Sentiment
Authors Parinaz Sobhani, Saif Mohammad, Svetlana Kiritchenko
Abstract
Tasks Information Retrieval, Natural Language Inference, Sentiment Analysis, Stance Detection, Text Summarization
Published 2016-08-01
URL https://www.aclweb.org/anthology/S16-2021/
PDF https://www.aclweb.org/anthology/S16-2021
PWC https://paperswithcode.com/paper/detecting-stance-in-tweets-and-analyzing-its
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Framework

Generating English from Abstract Meaning Representations

Title Generating English from Abstract Meaning Representations
Authors Nima Pourdamghani, Kevin Knight, Ulf Hermjakob
Abstract
Tasks Machine Translation, Text Generation
Published 2016-09-01
URL https://www.aclweb.org/anthology/W16-6603/
PDF https://www.aclweb.org/anthology/W16-6603
PWC https://paperswithcode.com/paper/generating-english-from-abstract-meaning
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Framework

Discourse-Driven Narrative Generation With Bipartite Planning

Title Discourse-Driven Narrative Generation With Bipartite Planning
Authors David Winer, R. Michael Young
Abstract
Tasks Text Generation
Published 2016-09-01
URL https://www.aclweb.org/anthology/W16-6602/
PDF https://www.aclweb.org/anthology/W16-6602
PWC https://paperswithcode.com/paper/discourse-driven-narrative-generation-with
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Framework

Evaluative Pattern Extraction for Automated Text Generation

Title Evaluative Pattern Extraction for Automated Text Generation
Authors Chia-Chen Lee, Shu-Kai Hsieh
Abstract
Tasks Sentiment Analysis, Text Generation
Published 2016-09-01
URL https://www.aclweb.org/anthology/W16-6617/
PDF https://www.aclweb.org/anthology/W16-6617
PWC https://paperswithcode.com/paper/evaluative-pattern-extraction-for-automated
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