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The 28th International Conference on Computational Linguistics 2020 (600)
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1
Priorless Recurrent Networks Learn Curiously ...
The 28th International Conference on Computational Linguistics 2020
;
Bowers, Jeff
;
Mitchell, Jeff
. - : Underline Science Inc., 2020
BASE
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2
Character Alignment in Morphologically Complex Translation Sets for Related Languages ...
The 28th International Conference on Computational Linguistics 2020
;
Ephrem, Binyam
;
Gasser, Michael
. - : Underline Science Inc., 2020
BASE
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3
Composing Byte-Pair Encodings for Morphological Sequence Classification ...
The 28th International Conference on Computational Linguistics 2020
;
Bernardy, Jean-Philipe
;
Ek, Adam
. - : Underline Science Inc., 2020
BASE
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4
Variation in Universal Dependencies annotation: A token based typological case study on adpossessive constructions ...
The 28th International Conference on Computational Linguistics 2020
;
Haakama, Viljami
;
Sinnemäki, Kaius
. - : Underline Science Inc., 2020
BASE
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5
Corpus evidence for word order freezing in Russian and German ...
The 28th International Conference on Computational Linguistics 2020
;
Berdicevskis, Aleksandrs
;
Piperski, Alexander
. - : Underline Science Inc., 2020
BASE
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6
An analysis of language models for metaphor recognition ...
The 28th International Conference on Computational Linguistics 2020
;
Markert, Katja
;
Neidlein, Arthur
. - : Underline Science Inc., 2020
BASE
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7
Noise Isn't Always Negative: Countering Exposure Bias in Sequence-to-Sequence Inflection Models ...
The 28th International Conference on Computational Linguistics 2020
;
Nicolai, Garrett
;
Silfverberg, Miikka
. - : Underline Science Inc., 2020
BASE
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8
Exhaustive Entity Recognition for Coptic - Challenges and Solutions ...
The 28th International Conference on Computational Linguistics 2020
;
Martin, Lance
;
Tu, Sichang
. - : Underline Science Inc., 2020
BASE
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9
Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games ...
The 28th International Conference on Computational Linguistics 2020
;
Bastianelli, Emanuele
;
Bisk, Yonatan
. - : Underline Science Inc., 2020
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10
Attentively Embracing Noise for Robust Latent Representation in BERT ...
The 28th International Conference on Computational Linguistics 2020
;
Cunha Sergio, Gwenaelle
;
Lee, Minho
. - : Underline Science Inc., 2020
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11
Catching Attention with Automatic Pull Quote Selection ...
The 28th International Conference on Computational Linguistics 2020
;
Bohn, Tanner
. - : Underline Science Inc., 2020
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12
Opening Ceremony ...
The 28th International Conference on Computational Linguistics 2020
;
Scott, Donia
. - : Underline Science Inc., 2020
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13
Classifier Probes May Just Learn from Linear Context Features ...
The 28th International Conference on Computational Linguistics 2020
;
Kuhlmann, Marco
;
Kunz, Jenny
. - : Underline Science Inc., 2020
BASE
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14
Seeing the world through text: Evaluating image descriptions for commonsense reasoning in machine reading comprehension ...
The 28th International Conference on Computational Linguistics 2020
;
Galvan-Sosa, Diana
;
Inui, Kentaro
. - : Underline Science Inc., 2020
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15
Part 6 - Cross-linguistic Studies ...
The 28th International Conference on Computational Linguistics 2020
;
., Omri
. - : Underline Science Inc., 2020
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16
Manifold Learning-based Word Representation Refinement Incorporating Global and Local Information ...
The 28th International Conference on Computational Linguistics 2020
;
Chen, Jinjun
;
Li , Lin
. - : Underline Science Inc., 2020
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17
HMSid and HMSid2 at PARSEME Shared Task 2020: Computational Corpus Linguistics and unseen-in-training MWEs ...
The 28th International Conference on Computational Linguistics 2020
;
Colson, Jean-Pierre
. - : Underline Science Inc., 2020
Abstract:
This paper is a system description of HMSid, officially sent to the PARSEME Shared Task 2020 for one language (French), in the open track. It also describes HMSid2, sent to the organizers of the workshop after the deadline and using the same methodology but in the closed track. Both systems do not rely on machine learning, but on computational corpus linguistics. Their score for unseen MWEs is very promising, especially in the case of HMSid2, which would have received the best score for unseen MWEs in the French closed track. ...
Keyword:
Computer and Information Science
;
Natural Language Processing
;
Neural Network
URL:
https://dx.doi.org/10.48448/z9st-5y85
https://underline.io/lecture/6491-hmsid-and-hmsid2-at-parseme-shared-task-2020-computational-corpus-linguistics-and-unseen-in-training-mwes-
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18
Multi-dialect Arabic BERT for Country-level Dialect Identification ...
The 28th International Conference on Computational Linguistics 2020
;
Ali, Mohammad
;
Al-Natsheh, Hussein
. - : Underline Science Inc., 2020
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19
Autoencoding Improves Pre-trained Word Embeddings ...
The 28th International Conference on Computational Linguistics 2020
;
Bollegala, Danushka
;
Kaneko, Masahiro
. - : Underline Science Inc., 2020
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20
Exploring End-to-End Differentiable Natural Logic Modeling ...
The 28th International Conference on Computational Linguistics 2020
;
Feng, Yufei
;
Greenspan, Michael
. - : Underline Science Inc., 2020
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