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Harry Potter and the Action Prediction Challenge from Natural Language
(Association for Computational Linguistics, 2019-06)
[Absctract]: We explore the challenge of action prediction from textual descriptions of scenes, a testbed to approximate whether text inference can be used to predict upcoming actions. As a case of study, we consider the ...
HEAD-QA: A Healthcare Dataset for Complex Reasoning
(Association for Computational Linguistics, 2019-07)
[Absctract]: We present HEAD-QA, a multi-choice question answering testbed to encourage research on complex reasoning. The questions come from exams to access a specialized position in the Spanish healthcare system, and ...
A Transition-Based Algorithm for Unrestricted AMR Parsing
(Association for Computational Linguistics, 2018-06)
[Absctract]: Non-projective parsing can be useful to handle cycles and reentrancy in AMR graphs. We explore this idea and introduce a greedy left-to-right non-projective transition-based parser. At each parsing configuration, ...
Towards Making a Dependency Parser See
(Association for Computational Linguistics, 2019-11)
[Absctract]: We explore whether it is possible to leverage eye-tracking data in an RNN dependency parser (for English) when such information is only available during training - i.e. no aggregated or token-level gaze features ...
Artificially Evolved Chunks for Morphosyntactic Analysis
(Association for Computational Linguistics, 2019-08)
[Absctract]: We introduce a language-agnostic evolutionary technique for automatically extracting chunks
from dependency treebanks. We evaluate these chunks on a number of morphosyntactic tasks,
namely POS tagging, ...
Grounding the Semantics of Part-of-Day Nouns Worldwide using Twitter
(Association for Computational Linguistics, 2018-06)
[Absctract]: The usage of part-of-day nouns, such as ‘night’, and their time-specific greetings (‘good night’), varies across languages and cultures. We show the possibilities that Twitter offers for studying the semantics ...
The Fragility of Multi-Treebank Parsing Evaluation
(International Committee on Computational Linguistics, 2022-10)
[Absctract]: Treebank selection for parsing evaluation and the spurious effects that might arise from a biased choice have not been explored in detail. This paper studies how evaluating on a single subset of treebanks can ...
Assessment of Pre-Trained Models Across Languages and Grammars
(Association for Computational Linguistics, 2023-11)
[Absctract]: We present an approach for assessing how
multilingual large language models (LLMs)
learn syntax in terms of multi-formalism syntactic structures. We aim to recover constituent
and dependency structures by ...
Discontinuous Constituent Parsing as Sequence Labeling
(Association for Computational Linguistics, 2020-11)
[Absctract]: This paper reduces discontinuous parsing to sequence labeling. It first shows that existing reductions for constituent parsing as labeling do not support discontinuities. Second, it fills this gap and proposes ...
Another Dead End for Morphological Tags? Perturbed Inputs and Parsing
(Association for Computational Linguistics, 2023-07)
[Absctract]: The usefulness of part-of-speech tags for parsing has been heavily questioned due to the success of word-contextualized parsers. Yet, most studies are limited to coarse-grained tags and high quality written ...