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1
Language Models Explain Word Reading Times Better Than Empirical Predictability ...
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2
SCoT: Sense Clustering over Time: a tool for the analysis of lexical change ...
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3
Introducing various Semantic Models for Amharic: Experimentation and Evaluation with multiple Tasks and Datasets ...
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4
Word Sense Disambiguation for 158 Languages using Word Embeddings Only ...
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5
Individual corpora predict fast memory retrieval during reading ...
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6
Making Fast Graph-based Algorithms with Graph Metric Embeddings ...
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7
On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings ...
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8
Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings ...
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9
A Report on the Complex Word Identification Shared Task 2018 ...
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10
A Multilingual Information Extraction Pipeline for Investigative Journalism ...
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11
New/s/leak 2.0 - Multilingual Information Extraction and Visualization for Investigative Journalism ...
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12
Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction ...
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13
An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages ...
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14
Enriching Frame Representations with Distributionally Induced Senses ...
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15
Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation ...
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16
Negative Sampling Improves Hypernymy Extraction Based on Projection Learning ...
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17
A Framework for Enriching Lexical Semantic Resources with Distributional Semantics ...
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18
Making Sense of Word Embeddings ...
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19
Watset: Automatic Induction of Synsets from a Graph of Synonyms ...
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20
Human and Machine Judgements for Russian Semantic Relatedness ...
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