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Found 13 papers, 6 papers with code
A Cognitively Motivated Approach to Spatial Information Extraction
We propose an automated spatial semantic analysis (ASSA) framework building on grammar and cognitive linguistic theories to identify spatial entities and relations, bringing together methods of spatial information extraction and cognitive frameworks on spatial language.
Systematic Analysis of Image Schemas in Natural Language through Explainable Multilingual Neural Language Processing
We propose to build on the recent success of large multilingual pretrained language models and a small dataset of examples from image schema literature to train a supervised classifier that classifies natural language expressions of varying lengths into image schemas.
Cross-Lingual Link Discovery for Under-Resourced Languages
In this paper, we provide an overview of current technologies for cross-lingual link discovery, and we discuss challenges, experiences and prospects of their application to under-resourced languages.
Participatory Research as a Path to Community-Informed, Gender-Fair Machine Translation
Recent years have seen a strongly increased visibility of non-binary people in public discourse.
"Es geht um Respekt, nicht um Technologie": Erkenntnisse aus einem Interessensgruppen-übergreifenden Workshop zu genderfairer Sprache und Sprachtechnologie
With the increasing attention non-binary people receive in Western societies, strategies of gender-fair language have started to move away from binary (only female/male) concepts of gender.
CogALex 2.0: Impact of Data Quality on Lexical-Semantic Relation Prediction
Predicting lexical-semantic relations between word pairs has successfully been accomplished by pre-trained neural language models.
Towards Learning Terminological Concept Systems from Multilingual Natural Language Text
Terminological Concept Systems (TCS) provide a means of organizing, structuring and representing domain-specific multilingual information and are important to ensure terminological consistency in many tasks, such as translation and cross-border communication.
CogALex-VI Shared Task: Transrelation - A Robust Multilingual Language Model for Multilingual Relation Identification
We describe our submission to the CogALex-VI shared task on the identification of multilingual paradigmatic relations building on XLM-RoBERTa (XLM-R), a robustly optimized and multilingual BERT model.
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe
Multilingualism is a cultural cornerstone of Europe and firmly anchored in the European treaties including full language equality.
Neural Machine Translating from Natural Language to SPARQL
SPARQL is a highly powerful query language for an ever-growing number of Linked Data resources and Knowledge Graphs.
Hashtag Processing for Enhanced Clustering of Tweets
Rich data provided by tweets have beenanalyzed, clustered, and explored in a variety of studies.
