DE eng

Search in the Catalogues and Directories

Page: 1 2 3
Hits 21 – 40 of 54

21
Simplification Using Paraphrases and Context-Based Lexical Substitution
In: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; https://hal.archives-ouvertes.fr/hal-01838519 ; Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics, Jun 2018, Nouvelle Orléans, United States (2018)
BASE
Show details
22
Automated Paraphrase Lattice Creation for HyTER Machine Translation Evaluation
In: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; https://hal.archives-ouvertes.fr/hal-01838521 ; Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics Jun 2018, Nouvelle Orléans, United States (2018)
BASE
Show details
23
Comparing Constraints for Taxonomic Organization
In: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; https://hal.archives-ouvertes.fr/hal-01838520 ; Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics Jun 2018, Nouvelle Orléans, United States (2018)
BASE
Show details
24
Mapping the Paraphrase Database to WordNet
In: Conference on Lexical and Computational Semantics ; https://hal.archives-ouvertes.fr/hal-01838527 ; Conference on Lexical and Computational Semantics, Aug 2017, Vancouver, Canada (2017)
BASE
Show details
25
Learning Antonyms with Paraphrases and a Morphology-aware Neural Network
In: Conference on Lexical and Computational Semantics ; https://hal.archives-ouvertes.fr/hal-01838526 ; Conference on Lexical and Computational Semantics, Aug 2017, Vancouver, Canada (2017)
BASE
Show details
26
Word Sense Filtering Improves Embedding-Based Lexical Substitution
In: Conference of the European Chapter of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01838524 ; Conference of the European Chapter of the Association for Computational Linguistics , Apr 2017, Valencia, Spain (2017)
BASE
Show details
27
Learning Translations via Matrix Completion
In: Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-01838532 ; Conference on Empirical Methods in Natural Language Processing, Sep 2017, Copenhagen, Denmark (2017)
BASE
Show details
28
KnowYourNyms? A Game of Semantic Relationships
In: Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-01838528 ; Conference on Empirical Methods in Natural Language Processing, Sep 2017, Copenhagen, Denmark (2017)
BASE
Show details
29
Use of Modality and Negation in Semantically-Informed Syntactic MT ...
BASE
Show details
30
Fisher and CALLHOME Spanish--English Speech Translation
Post, Matt; Kumar, Gaurav; Lopez, Adam. - : Linguistic Data Consortium, 2014. : https://www.ldc.upenn.edu, 2014
BASE
Show details
31
FEATURE-DRIVEN QUESTION ANSWERING WITH NATURAL LANGUAGE ALIGNMENT
Yao, Xuchen. - 2014
Abstract: Question Answering (QA) is the task of automatically generating answers to natural language questions from humans, serving as one of the primary research areas in natural language human-computer interaction. This dissertation focuses on English fact-seeking (factoid) QA, for instance: when was Johns Hopkins founded? (January 22, 1876). The key challenge in QA is the generation and recognition of indicative signals for answer patterns. In this dissertation I propose the idea of feature-driven QA, a machine learning framework that automatically produces rich features from linguistic annotations of answer fragments and encodes them in compact log-linear models. These features are further enhanced by tightly coupling the question and answer snippets via monolingual alignment. In this work monolingual alignment helps question answering in two aspects: aligning semantically similar words in QA sentence pairs (with the ability to recognize paraphrases and entailment) and aligning natural language words with knowledge base relations (via web-scale data mining). With the help of modern search engines, database and machine learning tools, the proposed method is able to efficiently search through billions of facts in the web space and optimize from millions of linguistic signals in the feature space. QA is often modeled as a pipeline of the form: question (input) -> information retrieval (“search”) -> answer extraction (from either text or knowledge base) -> answer (output). This dissertation demonstrates the feature-driven approach applied throughout the QA pipeline: the search front end with structured information retrieval, the answer extraction back end from both unstructured data source (free text) and structured data source (knowledge base). Error propagation in natural language processing (NLP) pipelines is contained and minimized. The final system achieves state-of-the-art performance in several NLP tasks, including answer sentence ranking and answer extraction on one QA dataset, monolingual alignment on two annotated datasets, and question answering from Freebase with web queries. This dissertation shows the capability of a feature-driven framework serving as the statistical backbone of modern question answering systems.
Keyword: artificial intelligence; monolingual alignment; natural language processing; question answering
URL: http://jhir.library.jhu.edu/handle/1774.2/38010
BASE
Hide details
32
Using Comparable Corpora to Augment Statistical Machine Translation Models in Low Resource Settings
Irvine, Ann. - 2014
BASE
Show details
33
Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation ...
BASE
Show details
34
Fisher and CALLHOME Spanish--English Speech Translation ...
Post, Matt; Kumar, Gaurav; Lopez, Adam. - : Linguistic Data Consortium, 2014
BASE
Show details
35
Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ...
BASE
Show details
36
Dirt cheap web-scale parallel text from the Common Crawl ...
Smith, Jason R; Saint-Amand, Herve; Plamada, Magdalena. - : Association for Computational Linguistics, 2013
BASE
Show details
37
Dirt cheap web-scale parallel text from the Common Crawl
In: Smith, Jason R; Saint-Amand, Herve; Plamada, Magdalena; Koehn, Philipp; Callison-Burch, Chris; Lopez, Adam (2013). Dirt cheap web-scale parallel text from the Common Crawl. In: 51st Annual Meeting of the Association for Computational Linguistics, Sofia, Bulgaria, August 2013. Association for Computational Linguistics, 1374-1383. (2013)
BASE
Show details
38
Use of Modality and Negation in Semantically-Informed Syntactic MT
In: DTIC (2012)
BASE
Show details
39
Use of Modality and Negation in Semantically-Informed Syntactic MT
BASE
Show details
40
Incremental Syntactic Language Models for Phrase-Based Translation
In: DTIC (2011)
BASE
Show details

Page: 1 2 3

Catalogues
1
0
5
0
0
0
0
Bibliographies
9
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
45
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern