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1
Lexical Semantic Change Discovery ...
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2
Explaining and Improving BERT Performance on Lexical Semantic Change Detection ...
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3
CL-IMS @ DIACR-Ita: Volente o Nolente: BERT does not outperform SGNS on Semantic Change Detection ...
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4
IMS at SemEval-2020 Task 1: How low can you go? Dimensionality in Lexical Semantic Change Detection ...
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5
OP-IMS @ DIACR-Ita: Back to the Roots: SGNS+OP+CD still rocks Semantic Change Detection ...
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6
Simulating Lexical Semantic Change from Sense-Annotated Data ...
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7
A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains ...
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8
You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP ...
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9
Introducing two Vietnamese Datasets for Evaluating Semantic Models of (Dis-)Similarity and Relatedness ...
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10
Diachronic Usage Relatedness (DURel): A Framework for the Annotation of Lexical Semantic Change ...
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11
Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages ...
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12
German in Flux: Detecting Metaphoric Change via Word Entropy ...
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13
Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network ...
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14
Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets ...
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15
Hierarchical Embeddings for Hypernymy Detection and Directionality ...
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16
Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction ...
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17
Availability of subcategorization frames: A matter of syntactic or lexical frequency?
Pappert, Sandra; Schliesser, Johannes; Pechmann, Thomas. - : Saarland University Press, 2005
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