41 |
Sentiment analysis on Italian tweets
|
|
|
|
In: WASSA 2013 ; https://hal.archives-ouvertes.fr/hal-01344503 ; WASSA 2013, Jun 2013, Atlanta, United States (2013)
|
|
BASE
|
|
Show details
|
|
42 |
Gamification for Word Sense Labeling
|
|
|
|
In: Proceedings of the 10th International Conference on Computational Semantics (IWCS 2013) ; https://hal.inria.fr/hal-01342431 ; Proceedings of the 10th International Conference on Computational Semantics (IWCS 2013), Mar 2013, Potsdam, Germany (2013)
|
|
BASE
|
|
Show details
|
|
43 |
Aligning Formal Meaning Representations with Surface Strings for Wide-coverage Text Generation
|
|
|
|
In: ENLG 2013 ; https://hal.archives-ouvertes.fr/hal-01344582 ; ENLG 2013, Aug 2013, Sophia, Bulgaria (2013)
|
|
BASE
|
|
Show details
|
|
44 |
Elephant: Sequence Labeling for Word and Sentence Segmentation
|
|
|
|
In: EMNLP 2013 ; https://hal.archives-ouvertes.fr/hal-01344500 ; EMNLP 2013, Oct 2013, Seattle, United States (2013)
|
|
BASE
|
|
Show details
|
|
45 |
Elephant: Sequence labeling for word and sentence segmentation
|
|
|
|
BASE
|
|
Show details
|
|
46 |
A platform for collaborative semantic annotation
|
|
|
|
In: EACL '12 Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics ; https://hal.inria.fr/hal-01389441 ; EACL '12 Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics , Apr 2012, Avignon, France. pp.92 - 96 (2012)
|
|
BASE
|
|
Show details
|
|
47 |
An Empirical Approach to the Semantic Representation of Laws
|
|
|
|
In: The 25th International Conference on Legal Knowledge and Information Systems ; https://hal.inria.fr/hal-01389435 ; The 25th International Conference on Legal Knowledge and Information Systems, Dec 2012, Amsterdam, Netherlands (2012)
|
|
Abstract:
International audience ; To make legal texts machine processable, the texts may be represented as linked documents, semantically tagged text, or translated to formal representations that can be automatically reasoned with. The paper considers the latter, which is key to testing consistency of laws, drawing inferences, and providing explanations relative to input. To translate laws to a form that can be reasoned with by a computer , sentences must be parsed and formally represented. The paper presents the state-of-the-art in automatic translation of law to a machine readable formal representation , provides corpora, outlines some key problems, and proposes tasks to address the problems.
|
|
Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; Legislation; Parsing; Semantic Representation
|
|
URL: https://hal.inria.fr/hal-01389435 https://hal.inria.fr/hal-01389435/file/WynerEtAlCCBoxerJURIX2012.pdf https://hal.inria.fr/hal-01389435/document
|
|
BASE
|
|
Hide details
|
|
48 |
Developing a large semantically annotated corpus
|
|
|
|
In: LREC 2012, Eighth International Conference on Language Resources and Evaluation ; https://hal.inria.fr/hal-01389432 ; LREC 2012, Eighth International Conference on Language Resources and Evaluation, May 2012, Istanbul, Turkey (2012)
|
|
BASE
|
|
Show details
|
|
49 |
Towards Generating Text from Discourse Representation Structures
|
|
|
|
In: ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation ; https://hal.inria.fr/hal-01389440 ; ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation, Sep 2011, Nancy, France. pp.145 - 150 (2011)
|
|
BASE
|
|
Show details
|
|
|
|