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Found 51 papers, 4 papers with code
Lost in Back-Translation: Emotion Preservation in Neural Machine Translation
Machine translation provides powerful methods to convert text between languages, and is therefore a technology enabling a multilingual world.
Masking Actor Information Leads to Fairer Political Claims Detection
A central concern in Computational Social Sciences (CSS) is fairness: where the role of NLP is to scale up text analysis to large corpora, the quality of automatic analyses should be as independent as possible of textual properties.
DEbateNet-mig15:Tracing the 2015 Immigration Debate in Germany Over Time
DEbateNet-migr15 is a manually annotated dataset for German which covers the public debate on immigration in 2015.
RiQuA: A Corpus of Rich Quotation Annotation for English Literary Text
We introduce RiQuA (RIch QUotation Annotations), a corpus that provides quotations, including their interpersonal structure (speakers and addressees) for English literary text.
Quotation Detection and Classification with a Corpus-Agnostic Model
The detection of quotations (i. e., reported speech, thought, and writing) has established itself as an NLP analysis task.
Text-Based Joint Prediction of Numeric and Categorical Attributes of Entities in Knowledge Bases
Our analysis indicates that this is the case because categorical attributes, many of which describe membership in various classes, provide useful {`}background knowledge{'} for numeric prediction, while this is true to a lesser degree in the inverse direction.
Modeling Paths for Explainable Knowledge Base Completion
A common approach in knowledge base completion (KBC) is to learn representations for entities and relations in order to infer missing facts by generalizing existing ones.
Learning Trilingual Dictionaries for Urdu -- Roman Urdu -- English
In this paper, we present an effort to generate a joint Urdu, Roman Urdu and English trilingual lexicon using automated methods.
An Environment for Relational Annotation of Political Debates
This paper describes the MARDY corpus annotation environment developed for a collaboration between political science and computational linguistics.
Who Sides with Whom? Towards Computational Construction of Discourse Networks for Political Debates
Understanding the structures of political debates (which actors make what claims) is essential for understanding democratic political decision making.
Clustering-Based Article Identification in Historical Newspapers
This article focuses on the problem of identifying articles and recovering their text from within and across newspaper pages when OCR just delivers one text file per page.
Frame Identification as Categorization: Exemplars vs Prototypes in Embeddingland
This paper follows the idea that embedding-based models of semantics lend themselves well to being formulated in terms of classical categorization theories.
DERE: A Task and Domain-Independent Slot Filling Framework for Declarative Relation Extraction
As a result, comparability of models across tasks is missing and their applicability to new tasks is limited.
Using Embeddings to Compare FrameNet Frames Across Languages
Much interest in Frame Semantics is fueled by the substantial extent of its applicability across languages.
A Named Entity Recognition Shootout for German
We ask how to practically build a model for German named entity recognition (NER) that performs at the state of the art for both contemporary and historical texts, i. e., a big-data and a small-data scenario.
Addressing Low-Resource Scenarios with Character-aware Embeddings
Most modern approaches to computing word embeddings assume the availability of text corpora with billions of words.
Lexical Substitution for Evaluating Compositional Distributional Models
LexSub is a more natural task, enables us to evaluate meaning composition at the level of individual words, and provides a common ground to compare CDSMs with dedicated LexSub models.
Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus
There is a rich variety of data sets for sentiment analysis (viz., polarity and subjectivity classification).
Distributed Prediction of Relations for Entities: The Easy, The Difficult, and The Impossible
Word embeddings are supposed to provide easy access to semantic relations such as {``}male of{''} (man{--}woman).
Does Free Word Order Hurt? Assessing the Practical Lexical Function Model for Croatian
The Practical Lexical Function (PLF) model is a model of computational distributional semantics that attempts to strike a balance between expressivity and learnability in predicting phrase meaning and shows competitive results.
Investigating the Relationship between Literary Genres and Emotional Plot Development
Literary genres are commonly viewed as being defined in terms of content and stylistic features.
Instances and concepts in distributional space
Instances ({``}Mozart{''}) are ontologically distinct from concepts or classes ({``}composer{''}).
Predictability of Distributional Semantics in Derivational Word Formation
Compositional distributional semantic models (CDSMs) have successfully been applied to the task of predicting the meaning of a range of linguistic constructions.
Polysemy Index for Nouns: an Experiment on Italian using the PAROLE SIMPLE CLIPS Lexical Database
An experiment is presented to induce a set of polysemous basic type alternations (such as Animal-Food, or Building-Institution) by deriving them from the sense alternations found in an existing lexical resource.
Crosslingual and Multilingual Construction of Syntax-Based Vector Space Models
Syntax-based distributional models of lexical semantics provide a flexible and linguistically adequate representation of co-occurrence information.
French and German Corpora for Audience-based Text Type Classification
This paper presents some of the results of the CLASSYN project which investigated the classification of text according to audience-related text types.
