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Found 25 papers, 3 papers with code
A Dataset for Term Extraction in Hindi
Automatic Term Extraction (ATE) is one of the core problems in natural language processing and forms a key component of text mining pipelines of domain specific corpora.
Adaptation of Word-Level Benchmark Datasets for Relation-Level Metaphor Identification
The majority of current approaches pertaining to metaphor processing concentrate on word-level processing due to data availability.
Some Issues with Building a Multilingual Wordnet
In this paper we discuss the experience of bringing together over 40 different wordnets.
Figure Me Out: A Gold Standard Dataset for Metaphor Interpretation
Metaphor comprehension and understanding is a complex cognitive task that requires interpreting metaphors by grasping the interaction between the meaning of their target and source concepts.
Recent Developments for the Linguistic Linked Open Data Infrastructure
In this paper we describe the contributions made by the European H2020 project {``}Pr{\^e}t-{\`a}-LLOD{''} ({`}Ready-to-use Multilingual Linked Language Data for Knowledge Services across Sectors{'}) to the further development of the Linguistic Linked Open Data (LLOD) infrastructure.
On the Linguistic Linked Open Data Infrastructure
In this paper we describe the current state of development of the Linguistic Linked Open Data (LLOD) infrastructure, an LOD(sub-)cloud of linguistic resources, which covers various linguistic data bases, lexicons, corpora, terminology and metadata repositories. We give in some details an overview of the contributions made by the European H2020 projects {``}Pr{\^e}t-{\`a}-LLOD{''} ({`}Ready-to-useMultilingual Linked Language Data for Knowledge Services across Sectors{'}) and {``}ELEXIS{''} ({`}European Lexicographic Infrastructure{'}) to the further development of the LLOD.
NUIG at TIAD: Combining Unsupervised NLP and Graph Metrics for Translation Inference
In this paper, we present the NUIG system at the TIAD shard task.
Modelling Frequency and Attestations for OntoLex-Lemon
Therefore, the OntoLex community has put forward the proposal for a novel module for frequency, attestation and corpus information (FrAC), that not only covers the requirements of digital lexicography, but also accommodates essential data structures for lexical information in natural language processing.
Challenges of Word Sense Alignment: Portuguese Language Resources
Word sense alignment involves searching for matching senses within dictionary entries of different lexical resources and linking them, which poses significant challenges.
A Comparative Study of Different State-of-the-Art Hate Speech Detection Methods in Hindi-English Code-Mixed Data
Hate speech detection in social media communication has become one of the primary concerns to avoid conflicts and curb undesired activities.
A Dataset for Troll Classification of TamilMemes
Social media are interactive platforms that facilitate the creation or sharing of information, ideas or other forms of expression among people.
A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment
Aligning senses across resources and languages is a challenging task with beneficial applications in the field of natural language processing and electronic lexicography.
English WordNet 2020: Improving and Extending a WordNet for English using an Open-Source Methodology
WordNet, while one of the most widely used resources for NLP, has not been updated for a long time, and as such a new project English WordNet has arisen to continue the development of the model under an open-source paradigm.
Identification of Adjective-Noun Neologisms using Pretrained Language Models
Neologism detection is a key task in the constructing of lexical resources and has wider implications for NLP, however the identification of multiword neologisms has received little attention.
Phrase-Level Metaphor Identification Using Distributed Representations of Word Meaning
Metaphor is an essential element of human cognition which is often used to express ideas and emotions that might be difficult to express using literal language.
Expanding wordnets to new languages with multilingual sense disambiguation
The translation of wordnets is fundamentally complex because of the need to translate all senses of a word including low frequency senses, which is very challenging for current machine translation approaches.
The Open Linguistics Working Group: Developing the Linguistic Linked Open Data Cloud
The Open Linguistics Working Group (OWLG) brings together researchers from various fields of linguistics, natural language processing, and information technology to present and discuss principles, case studies, and best practices for representing, publishing and linking linguistic data collections.
Representing Multilingual Data as Linked Data: the Case of BabelNet 2.0
Recent years have witnessed a surge in the amount of semantic information published on the Web.
