Paper Group NANR 72
Axolotl: a Web Accessible Parallel Corpus for Spanish-Nahuatl. A Corpus of Native, Non-native and Translated Texts. UWB at SemEval-2016 Task 1: Semantic Textual Similarity using Lexical, Syntactic, and Semantic Information. Mapping Ontologies Using Ontologies: Cross-lingual Semantic Role Information Transfer. Lexical and Syntactic cues to identify …
Axolotl: a Web Accessible Parallel Corpus for Spanish-Nahuatl
| Title | Axolotl: a Web Accessible Parallel Corpus for Spanish-Nahuatl |
| Authors | Ximena Gutierrez-Vasques, Gerardo Sierra, Isaac Hern Pompa, ez |
| Abstract | This paper describes the project called Axolotl which comprises a Spanish-Nahuatl parallel corpus and its search interface. Spanish and Nahuatl are distant languages spoken in the same country. Due to the scarcity of digital resources, we describe the several problems that arose when compiling this corpus: most of our sources were non-digital books, we faced errors when digitizing the sources and there were difficulties in the sentence alignment process, just to mention some. The documents of the parallel corpus are not homogeneous, they were extracted from different sources, there is dialectal, diachronical, and orthographical variation. Additionally, we present a web search interface that allows to make queries through the whole parallel corpus, the system is capable to retrieve the parallel fragments that contain a word or phrase searched by a user in any of the languages. To our knowledge, this is the first Spanish-Nahuatl public available digital parallel corpus. We think that this resource can be useful to develop language technologies and linguistic studies for this language pair. |
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| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1666/ |
| https://www.aclweb.org/anthology/L16-1666 | |
| PWC | https://paperswithcode.com/paper/axolotl-a-web-accessible-parallel-corpus-for |
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A Corpus of Native, Non-native and Translated Texts
| Title | A Corpus of Native, Non-native and Translated Texts |
| Authors | Sergiu Nisioi, Ella Rabinovich, Liviu P. Dinu, Shuly Wintner |
| Abstract | We describe a monolingual English corpus of original and (human) translated texts, with an accurate annotation of speaker properties, including the original language of the utterances and the speaker{'}s country of origin. We thus obtain three sub-corpora of texts reflecting native English, non-native English, and English translated from a variety of European languages. This dataset will facilitate the investigation of similarities and differences between these kinds of sub-languages. Moreover, it will facilitate a unified comparative study of translations and language produced by (highly fluent) non-native speakers, two closely-related phenomena that have only been studied in isolation so far. |
| Tasks | |
| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1664/ |
| https://www.aclweb.org/anthology/L16-1664 | |
| PWC | https://paperswithcode.com/paper/a-corpus-of-native-non-native-and-translated |
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UWB at SemEval-2016 Task 1: Semantic Textual Similarity using Lexical, Syntactic, and Semantic Information
| Title | UWB at SemEval-2016 Task 1: Semantic Textual Similarity using Lexical, Syntactic, and Semantic Information |
| Authors | Tom{'a}{\v{s}} Brychc{'\i}n, Luk{'a}{\v{s}} Svoboda |
| Abstract | |
| Tasks | Semantic Textual Similarity |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/S16-1089/ |
| https://www.aclweb.org/anthology/S16-1089 | |
| PWC | https://paperswithcode.com/paper/uwb-at-semeval-2016-task-1-semantic-textual |
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Mapping Ontologies Using Ontologies: Cross-lingual Semantic Role Information Transfer
| Title | Mapping Ontologies Using Ontologies: Cross-lingual Semantic Role Information Transfer |
| Authors | Bal{'a}zs Indig, M{'a}rton Mih{'a}ltz, Andr{'a}s Simonyi |
| Abstract | This paper presents the process of enriching the verb frame database of a Hungarian natural language parser to enable the assignment of semantic roles. We accomplished this by linking the parser{'}s verb frame database to existing linguistic resources such as VerbNet and WordNet, and automatically transferring back semantic knowledge. We developed OWL ontologies that map the various constraint description formalisms of the linked resources and employed a logical reasoning device to facilitate the linking procedure. We present results and discuss the challenges and pitfalls that arose from this undertaking. |
| Tasks | |
| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1384/ |
| https://www.aclweb.org/anthology/L16-1384 | |
| PWC | https://paperswithcode.com/paper/mapping-ontologies-using-ontologies-cross |
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Lexical and Syntactic cues to identify Reference Scope of Citance
| Title | Lexical and Syntactic cues to identify Reference Scope of Citance |
| Authors | Peeyush Aggarwal, Richa Sharma |
| Abstract | |
| Tasks | Document Summarization |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/W16-1512/ |
| https://www.aclweb.org/anthology/W16-1512 | |
| PWC | https://paperswithcode.com/paper/lexical-and-syntactic-cues-to-identify |
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Making Sense of Massive Amounts of Scientific Publications: the Scientific Knowledge Miner Project
| Title | Making Sense of Massive Amounts of Scientific Publications: the Scientific Knowledge Miner Project |
| Authors | Francesco Ronzano, Ana Freire, Diego Saez-Trumper, Horacio Saggion |
| Abstract | |
| Tasks | Document Summarization, Information Retrieval, Opinion Mining, Recommendation Systems, Text Summarization |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/W16-1505/ |
| https://www.aclweb.org/anthology/W16-1505 | |
| PWC | https://paperswithcode.com/paper/making-sense-of-massive-amounts-of-scientific |
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Extending Monolingual Semantic Textual Similarity Task to Multiple Cross-lingual Settings
| Title | Extending Monolingual Semantic Textual Similarity Task to Multiple Cross-lingual Settings |
| Authors | Yoshihiko Hayashi, Wentao Luo |
| Abstract | This paper describes our independent effort for extending the monolingual semantic textual similarity (STS) task setting to multiple cross-lingual settings involving English, Japanese, and Chinese. So far, we have adopted a {``}monolingual similarity after translation{''} strategy to predict the semantic similarity between a pair of sentences in different languages. With this strategy, a monolingual similarity method is applied after having (one of) the target sentences translated into a pivot language. Therefore, this paper specifically details the required and developed resources to implement this framework, while presenting our current results for English-Japanese-Chinese cross-lingual STS tasks that may exemplify the validity of the framework. | |
| Tasks | Semantic Similarity, Semantic Textual Similarity |
| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1196/ |
| https://www.aclweb.org/anthology/L16-1196 | |
| PWC | https://paperswithcode.com/paper/extending-monolingual-semantic-textual |
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UWB at SemEval-2016 Task 7: Novel Method for Automatic Sentiment Intensity Determination
| Title | UWB at SemEval-2016 Task 7: Novel Method for Automatic Sentiment Intensity Determination |
| Authors | Ladislav Lenc, Pavel Kr{'a}l, V{'a}clav Rajtmajer |
| Abstract | |
| Tasks | Opinion Mining, Sentiment Analysis, Text Categorization, Word Embeddings |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/S16-1078/ |
| https://www.aclweb.org/anthology/S16-1078 | |
| PWC | https://paperswithcode.com/paper/uwb-at-semeval-2016-task-7-novel-method-for |
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Stating the Obvious: Extracting Visual Common Sense Knowledge
| Title | Stating the Obvious: Extracting Visual Common Sense Knowledge |
| Authors | Mark Yatskar, Vicente Ordonez, Ali Farhadi |
| Abstract | |
| Tasks | Common Sense Reasoning, Object Detection |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/N16-1023/ |
| https://www.aclweb.org/anthology/N16-1023 | |
| PWC | https://paperswithcode.com/paper/stating-the-obvious-extracting-visual-common |
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Enriching a Valency Lexicon by Deverbative Nouns
| Title | Enriching a Valency Lexicon by Deverbative Nouns |
| Authors | Eva Fu{\v{c}}{'\i}kov{'a}, Jan Haji{\v{c}}, Zde{\v{n}}ka Ure{\v{s}}ov{'a} |
| Abstract | We present an attempt to automatically identify Czech deverbative nouns using several methods that use large corpora as well as existing lexical resources. The motivation for the task is to extend a verbal valency (i.e., predicate-argument) lexicon by adding nouns that share the valency properties with the base verb, assuming their properties can be derived (even if not trivially) from the underlying verb by deterministic grammatical rules. At the same time, even in inflective languages, not all deverbatives are simply created from their underlying base verb by regular lexical derivation processes. We have thus developed hybrid techniques that use both large parallel corpora and several standard lexical resources. Thanks to the use of parallel corpora, the resulting sets contain also synonyms, which the lexical derivation rules cannot get. For evaluation, we have manually created a small, 100-verb gold data since no such dataset was initially available for Czech. |
| Tasks | |
| Published | 2016-12-01 |
| URL | https://www.aclweb.org/anthology/W16-3810/ |
| https://www.aclweb.org/anthology/W16-3810 | |
| PWC | https://paperswithcode.com/paper/enriching-a-valency-lexicon-by-deverbative |
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Character based String Kernels for Bio-Entity Relation Detection
| Title | Character based String Kernels for Bio-Entity Relation Detection |
| Authors | Ritambhara Singh, Yanjun Qi |
| Abstract | |
| Tasks | Decision Making, Question Answering, Relation Extraction |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-2908/ |
| https://www.aclweb.org/anthology/W16-2908 | |
| PWC | https://paperswithcode.com/paper/character-based-string-kernels-for-bio-entity |
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``What Is Your Evidence?’’ A Study of Controversial Topics on Social Media
| Title | ``What Is Your Evidence?’’ A Study of Controversial Topics on Social Media | |
| Authors | Aseel Addawood, Masooda Bashir |
| Abstract | |
| Tasks | Argument Mining, Opinion Mining, Sentiment Analysis |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-2801/ |
| https://www.aclweb.org/anthology/W16-2801 | |
| PWC | https://paperswithcode.com/paper/what-is-your-evidence-a-study-of |
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Talking with ERICA, an autonomous android
| Title | Talking with ERICA, an autonomous android |
| Authors | Koji Inoue, Pierrick Milhorat, Divesh Lala, Tianyu Zhao, Tatsuya Kawahara |
| Abstract | |
| Tasks | |
| Published | 2016-09-01 |
| URL | https://www.aclweb.org/anthology/W16-3625/ |
| https://www.aclweb.org/anthology/W16-3625 | |
| PWC | https://paperswithcode.com/paper/talking-with-erica-an-autonomous-android |
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Overview of the Bacteria Biotope Task at BioNLP Shared Task 2016
| Title | Overview of the Bacteria Biotope Task at BioNLP Shared Task 2016 |
| Authors | Louise Del{'e}ger, Robert Bossy, Estelle Chaix, Mouhamadou Ba, Arnaud Ferr{'e}, Philippe Bessi{`e}res, Claire N{'e}dellec |
| Abstract | |
| Tasks | |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-3002/ |
| https://www.aclweb.org/anthology/W16-3002 | |
| PWC | https://paperswithcode.com/paper/overview-of-the-bacteria-biotope-task-at |
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Sparsifying Word Representations for Deep Unordered Sentence Modeling
| Title | Sparsifying Word Representations for Deep Unordered Sentence Modeling |
| Authors | Prasanna Sattigeri, Jayaraman J. Thiagarajan |
| Abstract | |
| Tasks | Document Classification, Representation Learning, Sentence Embeddings, Word Embeddings |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-1624/ |
| https://www.aclweb.org/anthology/W16-1624 | |
| PWC | https://paperswithcode.com/paper/sparsifying-word-representations-for-deep |
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