DE eng

Search in the Catalogues and Directories

Hits 1 – 12 of 12

1
Embracing Ambiguity: Shifting the Training Target of NLI Models ...
BASE
Show details
2
Can Question Generation Debias Question Answering Models? A Case Study on Question-Context Lexical Overlap ...
BASE
Show details
3
An Evaluation Dataset for Identifying Communicative Functions of Sentences in English Scholarly Papers
In: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) ; 12th Conference on Language Resources and Evaluation (LREC 2020) ; https://hal.archives-ouvertes.fr/hal-03272825 ; 12th Conference on Language Resources and Evaluation (LREC 2020), May 2020, Marseille, France (2020)
BASE
Show details
4
Keyphrase Generation for Scientific Document Retrieval
In: The 58th Annual Meeting of the Association for Computational Linguistics (ACL) ; https://hal.archives-ouvertes.fr/hal-02556086 ; The 58th Annual Meeting of the Association for Computational Linguistics (ACL), Jul 2020, Online, United States. ⟨10.18653/v1/2020.acl-main.105⟩ (2020)
BASE
Show details
5
A Linguistic Analysis of Visually Grounded Dialogues Based on Spatial Expressions ...
Abstract: Recent models achieve promising results in visually grounded dialogues. However, existing datasets often contain undesirable biases and lack sophisticated linguistic analyses, which make it difficult to understand how well current models recognize their precise linguistic structures. To address this problem, we make two design choices: first, we focus on OneCommon Corpus \citep{udagawa2019natural,udagawa2020annotated}, a simple yet challenging common grounding dataset which contains minimal bias by design. Second, we analyze their linguistic structures based on \textit{spatial expressions} and provide comprehensive and reliable annotation for 600 dialogues. We show that our annotation captures important linguistic structures including predicate-argument structure, modification and ellipsis. In our experiments, we assess the model's understanding of these structures through reference resolution. We demonstrate that our annotation can reveal both the strengths and weaknesses of baseline models in essential ... : 16 pages, Findings of EMNLP 2020 ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2010.03127
https://arxiv.org/abs/2010.03127
BASE
Hide details
6
Multi-sense Embeddings through a Word Sense Disambiguation Process
BASE
Show details
7
Leveraging Monolingual Data for Crosslingual Compositional Word Representations ...
BASE
Show details
8
Stylistic Analysis of Text Submissions to Japanese Q & A Communities*
In: Journal of quantitative linguistics. - London : Routledge 19 (2012) 4, 262-280
OLC Linguistik
Show details
9
Co-occurrence-based indicators for authorship analysis
In: LLC. - Oxford : Oxford Univ. Press 27 (2012) 2, 197-214
BLLDB
OLC Linguistik
Show details
10
Co-occurrence-based indicators for authorship analysis
Suzuki, Takafumi; Kawamura, Shuntaro; Yoshikane, Fuyuki. - : Oxford University Press, 2012
BASE
Show details
11
Looking for Transliterations in a Trilingual English, French and Japanese Specialised Comparable Corpus
In: LREC Workshop on Comparable Corpora (LREC'08) ; Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-00417726 ; Language Resources and Evaluation Conference, May 2008, Marrakech, Morocco. pp.4 (2008)
BASE
Show details
12
Recent advances in computational terminology
Zweigenbaum, Pierre (Mitarb.); Anick, Peter (Mitarb.); Bouaud, Jacques (Mitarb.). - Amsterdam [u.a.] : Benjamins, 2001
BLLDB
UB Frankfurt Linguistik
Show details

Catalogues
1
0
2
0
0
0
0
Bibliographies
2
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
9
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern