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Maximilian Koper
Number of Papers:- 19
Number of Citations:- 75
First ACL Paper:- 2014
Latest ACL Paper:- 2018
Venues:-
SENSE
MWE
CRAC
ACL
NAACL
EACL
LREC
WASSA
EMNLP
WS
*SEMEVAL
IWCS
Co-Authors:-
Christian Scheible
Diego Frassinelli
Eleri Aedmaa
Evgeny Kim
Ina Roesiger
Similar Authors:-
Eddi Gbery
Sachiko Ide
Hwiyeol Jo
Stanley Jungkyu Choi
Yanrong Wu
2018
2017
2016
2015
2014
Analogies in Complex Verb Meaning Shifts: the Effect of Affect in Semantic Similarity Models
NAACL
Maximilian Köper |
Sabine Schulte im Walde |
Combining Abstractness and Language-specific Theoretical Indicators for Detecting Non-Literal Usage of Estonian Particle Verbs
NAACL
Eleri Aedmaa |
Maximilian Köper |
Sabine Schulte im Walde |
Assessing Meaning Components in German Complex Verbs: A Collection of Source-Target Domains and Directionality
*SEMEVAL
Sabine Schulte im Walde |
Maximilian Köper |
Sylvia Springorum |
Integrating Predictions from Neural-Network Relation Classifiers into Coreference and Bridging Resolution
CRAC
NAACL
WS
Ina Roesiger |
Maximilian Köper |
Kim Anh Nguyen |
Sabine Schulte im Walde |
Hierarchical Embeddings for Hypernymy Detection and Directionality
EMNLP
Kim Anh Nguyen |
Maximilian Köper |
Sabine Schulte im Walde |
Ngoc Thang Vu |
Applying Multi-Sense Embeddings for German Verbs to Determine Semantic Relatedness and to Detect Non-Literal Language
EACL
Maximilian Köper |
Sabine Schulte im Walde |
Complex Verbs are Different: Exploring the Visual Modality in Multi-Modal Models to Predict Compositionality
MWE
WS
Maximilian Köper |
Sabine Schulte im Walde |
Improving Verb Metaphor Detection by Propagating Abstractness to Words, Phrases and Individual Senses
SENSE
WS
Maximilian Köper |
Sabine Schulte im Walde |
IMS at EmoInt-2017: Emotion Intensity Prediction with Affective Norms, Automatically Extended Resources and Deep Learning
WASSA
WS
Maximilian Köper |
Evgeny Kim |
Roman Klinger |
Exploring Soft-Clustering for German (Particle) Verbs across Frequency Ranges
IWCS
WS
Moritz Wittmann |
Maximilian Köper |
Sabine Schulte im Walde |
Exploring Multi-Modal Text+Image Models to Distinguish between Abstract and Concrete Nouns
WS
Sai Abishek Bhaskar |
Maximilian Köper |
Sabine Schulte Im Walde |
Diego Frassinelli |
Visualisation and Exploration of High-Dimensional Distributional Features in Lexical Semantic Classification
LREC
Maximilian Köper |
Melanie Zaiß |
Qi Han |
Steffen Koch |
Sabine Schulte im Walde |
Automatically Generated Affective Norms of Abstractness, Arousal, Imageability and Valence for 350 000 German Lemmas
LREC
Maximilian Köper |
Sabine Schulte im Walde |
Distinguishing Literal and Non-Literal Usage of German Particle Verbs
NAACL
Maximilian Köper |
Sabine Schulte im Walde |
Automatic Semantic Classification of German Preposition Types: Comparing Hard and Soft Clustering Approaches across Features
ACL
Maximilian Köper |
Sabine Schulte im Walde |
Improving Zero-Shot-Learning for German Particle Verbs by using Training-Space Restrictions and Local Scaling
*SEMEVAL
Maximilian Köper |
Sabine Schulte im Walde |
Max Kisselew |
Sebastian Padó |
Multilingual Reliability and “Semantic” Structure of Continuous Word Spaces
IWCS
WS
Maximilian Köper |
Christian Scheible |
Sabine Schulte im Walde |
A Rank-based Distance Measure to Detect Polysemy and to Determine Salient Vector-Space Features for German Prepositions
LREC
Maximilian Köper |
Sabine Schulte im Walde |
Fuzzy V-Measure - An Evaluation Method for Cluster Analyses of Ambiguous Data
LREC
Jason Utt |
Sylvia Springorum |
Maximilian Köper |
Sabine Schulte im Walde |
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