Sabine Schulte Im Walde

25 publications

6 venues

H Index 18


University of Stuttgart, Institute for Natural Language Processing, Germany
Saarland University, Computational Linguistics and Psycholinguistics, Saarbr cken, Germany


Name Venue Year citations
Predicting Degrees of Technicality in Automatic Terminology Extraction. ACL 2020 9
A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains. ACL 2019 63
Projecting Embeddings for Domain Adaption: Joint Modeling of Sentiment Analysis in Diverse Domains. COLING 2018 25
Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages. ACL 2018 45
Applying Multi-Sense Embeddings for German Verbs to Determine Semantic Relatedness and to Detect Non-Literal Language. EACL 2017 8
Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network. EACL 2017 43
Hierarchical Embeddings for Hypernymy Detection and Directionality. EMNLP 2017 86
Addressing Problems across Linguistic Levels in SMT: Combining Approaches to Model Morphology, Syntax and Lexical Choice. EACL 2017 0
German in Flux: Detecting Metaphoric Change via Word Entropy. CoNLL 2017 18
Neural-based Noise Filtering from Word Embeddings. COLING 2016 12
Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction. ACL 2016 118
Automatic Semantic Classification of German Preposition Types: Comparing Hard and Soft Clustering Approaches across Features. ACL 2016 2
Chasing Hypernyms in Vector Spaces with Entropy. EACL 2014 137
Combining Word Patterns and Discourse Markers for Paradigmatic Relation Classification. ACL 2014 28
A Multimodal LDA Model integrating Textual, Cognitive and Visual Modalities. EMNLP 2013 84
Using subcategorization knowledge to improve case prediction for translation to German. ACL 2013 24
Detecting Polysemy in Hard and Soft Cluster Analyses of German Preposition Vector Spaces. IJCNLP 2013 9
Uncovering Distributional Differences between Synonyms and Antonyms in a Word Space Model. IJCNLP 2013 41
Combining EM Training and the MDL Principle for an Automatic Verb Classification Incorporating Selectional Preferences. ACL 2008 42
Can Human Verb Associations Help Identify Salient Features for Semantic Verb Classification? CoNLL 2006 10
Experiments on the Choice of Features for Learning Verb Classes. EACL 2003 19
Spectral Clustering for German Verbs. EMNLP 2002 71
Inducing German Semantic Verb Classes from Purely Syntactic Subcategorisation Information. ACL 2002 95
Clustering Verbs Semantically According to their Alternation Behaviour. COLING 2000 124
Robust German Noun Chunking With a Probabilistic Context-Free Grammar. COLING 2000 46
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