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Semantics

300 directly classified papers

Papers per year

Papers

Towards Better Context-aware Lexical Semantics:Adjusting Contextualized Representations through Static Anchors EMNLP 2020
Re-solve it: simulating the acquisition of core semantic competences from small data EMNLP 2020
A Cognitively Motivated Approach to Spatial Information Extraction EMNLP 2020
Sequential Modelling of the Evolution of Word Representations for Semantic Change Detection EMNLP 2020
Comparative Probing of Lexical Semantics Theories for Cognitive Plausibility and Technological Usefulness COLING 2020
Understanding the Source of Semantic Regularities in Word Embeddings CONLL 2020
Word associations and the distance properties of context-aware word embeddings CONLL 2020
Breaking Through the 80% Glass Ceiling: Raising the State of the Art in Word Sense Disambiguation by Incorporating Knowledge Graph Information ACL 2020
PISA: A measure of Preference In Selection of Arguments to model verb argument recoverability COLING 2020
Style Analysis of Argumentative Texts by Mining Rhetorical Devices COLING 2020
Improving Semantic Parsing Using Statistical Word Sense Disambiguation (Student Abstract) AAAI 2020
One Homonym per Translation AAAI 2020
Integrating the Application and Realization of Mandarin 3rd Tone Sandhi in the Resolution of Sentence Ambiguity INTERSPEECH 2020
CASE: Context-Aware Semantic Expansion AAAI 2020
Harnessing the linguistic signal to predict scalar inferences ACL 2020
Within-Between Lexical Relation Classification EMNLP 2020
Facilitating the Communication of Politeness through Fine-Grained Paraphrasing EMNLP 2020
Exploring Semantic Capacity of Terms EMNLP 2020
Word associations and the distance properties of context-aware word embeddings EMNLP 2020
Using Conceptual Norms for Metaphor Detection ACL 2020
Generating Ethnographic Models from Communities’ Online Data ACL 2020
Word Embeddings as Tuples of Feature Probabilities ACL 2020
Speakers Fill Lexical Semantic Gaps with Context EMNLP 2020
Extracting Implicitly Asserted Propositions in Argumentation EMNLP 2020
LiMiT: The Literal Motion in Text Dataset EMNLP 2020