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Found 85 papers, 23 papers with code
When to explain: Identifying explanation triggers in human-agent interaction
With more agents deployed than ever, users need to be able to interact and cooperate with them in an effective and comfortable manner.
The Role of Common Ground for Referential Expressions in Social Dialogues
In this paper, we frame the problem of co-reference resolution in dialogue as a dynamic social process in which mentions to people previously known and newly introduced are mixed when people know each other well.
Annotating Targets of Toxic Language at the Span Level
We therefore created a crowd-annotation task to mark the spans of words that refer to target communities as an extension of the HateXplain data set.
Modeling Dutch Medical Texts for Detecting Functional Categories and Levels of COVID-19 Patients
However, the language in these records is very different from standard language and generic natural language processing tools cannot easily be applied out-of-the-box.
Efficiently and Thoroughly Anonymizing a Transformer Language Model for Dutch Electronic Health Records: a Two-Step Method
Adopting the fill-mask task where the model predicts what tokens are most probable in a certain context, it was tested how often the model will predict a name in a context where a name should be.
Introducing Frege to Fillmore: A FrameNet Dataset that Captures both Sense and Reference
This article presents the first output of the Dutch FrameNet annotation tool, which facilitates both referential- and frame annotations of language-independent corpora.
SeqL at SemEval-2022 Task 11: An Ensemble of Transformer Based Models for Complex Named Entity Recognition Task
This paper presents our system used to participate in task 11 (MultiCONER) of the SemEval 2022 competition.
Variation in framing as a function of temporal reporting distance
In this paper, we measure variation in framing as a function of foregrounding and backgrounding in a co-referential corpus with a range of temporal distance.
Batavia asked for advice. Pretrained language models for Named Entity Recognition in historical texts.
We consider monolingual and multilingual models from the perspective of historical texts, and in particular for texts enriched with editorial notes: how do language models deal with the historical and editorial content in these texts?
ReferenceNet: a semantic-pragmatic network for capturing reference relations.
In this paper, we present ReferenceNet: a semantic-pragmatic network of reference relations between synsets.
Towards interpretable, data-derived distributional meaning representations for reasoning: A dataset of properties and concepts
We provide hypotheses on which properties are reflected in distributional data or not based on the type of relation.
CILI: the Collaborative Interlingual Index
This paper introduces the motivation for and design of the Collaborative InterLingual Index (CILI).
The Predicate Matrix and the Event and Implied Situation Ontology: Making More of Events
This paper presents the Event and Implied Situation Ontology (ESO), a resource which formalizes the pre and post situations of events and the roles of the entities affected by an event.
Open Dutch WordNet
We describe Open Dutch WordNet, which has been derived from the Cornetto database, the Princeton WordNet and open source resources.
Toward a truly multilingual GlobalWordnet Grid
In this paper, we describe a new and improved Global Wordnet Grid that takes advantage of the Collaborative InterLingual Index (CILI).
Extracting triples from dialogues for conversational social agents
In this paper, we describe a number of Natural Language Understanding models that extract explicit symbolic triples from social conversation.
Knowledge acquisition for dialogue agents using reinforcement learning on graph representations
We develop an artificial agent motivated to augment its knowledge base beyond its initial training.
Grounding Toxicity in Real-World Events across Languages
Social media conversations frequently suffer from toxicity, creating significant issues for users, moderators, and entire communities.
The Constant in HATE: Analyzing Toxicity in Reddit across Topics and Languages
Toxic language remains an ongoing challenge on social media platforms, presenting significant issues for users and communities.
Unknown Script: Impact of Script on Cross-Lingual Transfer
Cross-lingual transfer has become an effective way of transferring knowledge between languages.
Truth-value judgment in language models: belief directions are context sensitive
Recent work has demonstrated that the latent spaces of large language models (LLMs) contain directions predictive of the truth of sentences.
A Hybrid Intelligence Method for Argument Mining
We find that, on the one hand, HyEnA achieves higher coverage and precision than a state-of-the-art automated method when compared to a common set of diverse opinions, justifying the need for human insight.
An Empirical Analysis of Diversity in Argument Summarization
Presenting high-level arguments is a crucial task for fostering participation in online societal discussions.
Do Differences in Values Influence Disagreements in Online Discussions?
We investigate a hypothesis that differences in personal values are indicative of disagreement in online discussions.
Reasoning about Ambiguous Definite Descriptions
But no resources exist to evaluate how well Large Language Models can use explicit reasoning to resolve ambiguity in language.
Cross-Domain Toxic Spans Detection
Given the dynamic nature of toxic language use, automated methods for detecting toxic spans are likely to encounter distributional shift.
A Machine with Short-Term, Episodic, and Semantic Memory Systems
Inspired by the cognitive science theory of the explicit human memory systems, we have modeled an agent with short-term, episodic, and semantic memory systems, each of which is modeled with a knowledge graph.
Ranked #1 on
RoomEnv-v1
on RoomEnv-v1
Evaluating Agent Interactions Through Episodic Knowledge Graphs
We present a new method based on episodic Knowledge Graphs (eKGs) for evaluating (multimodal) conversational agents in open domains.
A modular architecture for creating multimodal agents
The paper describes a flexible and modular platform to create multimodal interactive agents.
A Machine With Human-Like Memory Systems
Inspired by the cognitive science theory, we explicitly model an agent with both semantic and episodic memory systems, and show that it is better than having just one of the two memory systems.
Ranked #1 on
RoomEnv-v0
on RoomEnv-v0
EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTa
We present EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTa, a simple yet expressive scheme of solving the ERC (emotion recognition in conversation) task.
Ranked #9 on
Emotion Recognition in Conversation
on CPED
Would you describe a leopard as yellow? Evaluating crowd-annotations with justified and informative disagreement
We establish an additional, agreement-independent quality metric based on answer-coherence and evaluate it in comparison to existing metrics.
A Shared Task of a New, Collaborative Type to Foster Reproducibility: A First Exercise in the Area of Language Science and Technology with REPROLANG2020
n this paper, we introduce a new type of shared task {---} which is collaborative rather than competitive {---} designed to support and fosterthe reproduction of research results.
Annotating Perspectives on Vaccination
In this paper we present the Vaccination Corpus, a corpus of texts related to the online vaccination debate that has been annotated with three layers of information about perspectives: attribution, claims and opinions.
Large-scale Cross-lingual Language Resources for Referencing and Framing
In this article, we lay out the basic ideas and principles of the project Framing Situations in the Dutch Language.
Combining Conceptual and Referential Annotation to Study Variation in Framing
The user can apply two types of annotations: 1) mappings from expressions to frames and frame elements, 2) reference relations from mentions to events and participants of the structured data.
Talking about other people: an endless range of possibilities
This taxonomy serves as a reference point to think about how other people should be described, and can be used to classify and compute statistics about labels applied to people.
The Profiling Machine: Active Generalization over Knowledge
The human mind is a powerful multifunctional knowledge storage and management system that performs generalization, type inference, anomaly detection, stereotyping, and other tasks.
A Deep Dive into Word Sense Disambiguation with LSTM
LSTM-based language models have been shown effective in Word Sense Disambiguation (WSD).
Scoring and Classifying Implicit Positive Interpretations: A Challenge of Class Imbalance
This paper reports on a reimplementation of a system on detecting implicit positive meaning from negated statements.
Systematic Study of Long Tail Phenomena in Entity Linking
In this paper we report on a series of hypotheses regarding the long tail phenomena in entity linking datasets, their interaction, and their impact on system performance.
Measuring the Diversity of Automatic Image Descriptions
Automatic image description systems typically produce generic sentences that only make use of a small subset of the vocabulary available to them.
Leolani: a reference machine with a theory of mind for social communication
Our state of mind is based on experiences and what other people tell us.
SemEval-2018 Task 5: Counting Events and Participants in the Long Tail
This paper discusses SemEval-2018 Task 5: a referential quantification task of counting events and participants in local, long-tail news documents with high ambiguity.
Meaning\_space at SemEval-2018 Task 10: Combining explicitly encoded knowledge with information extracted from word embeddings
This paper presents the two systems submitted by the meaning space team in Task 10 of the SemEval competition 2018 entitled Capturing discriminative attributes.
NewsReader at SemEval-2018 Task 5: Counting events by reasoning over event-centric-knowledge-graphs
In this paper, we describe the participation of the NewsReader system in the SemEval-2018 Task 5 on Counting Events and Participants in the Long Tail.
BiographyNet: Extracting Relations Between People and Events
This paper describes BiographyNet, a digital humanities project (2012-2016) that brings together researchers from history, computational linguistics and computer science.
Storyteller: Visual Analytics of Perspectives on Rich Text Interpretations
Complexity of event data in texts makes it difficult to assess its content, especially when considering larger collections in which different sources report on the same or similar situations.
GRaSP: Grounded Representation and Source Perspective
When people or organizations provide information, they make choices regarding what information they include and how they present it.
The Circumstantial Event Ontology (CEO)
In this paper we describe the ongoing work on the Circumstantial Event Ontology (CEO), a newly developed ontology for calamity events that models semantic circumstantial relations between event classes.
The Event StoryLine Corpus: A New Benchmark for Causal and Temporal Relation Extraction
This paper reports on the Event StoryLine Corpus (ESC) v1. 0, a new benchmark dataset for the temporal and causal relation detection.
Cross-linguistic differences and similarities in image descriptions
Automatic image description systems are commonly trained and evaluated on large image description datasets.
Identity and Granularity of Events in Text
In this paper we describe a method to detect event descrip- tions in different news articles and to model the semantics of events and their components using RDF representations.
Semantic overfitting: what `world' do we consider when evaluating disambiguation of text?
Semantic text processing faces the challenge of defining the relation between lexical expressions and the world to which they make reference within a period of time.
More is not always better: balancing sense distributions for all-words Word Sense Disambiguation
Current Word Sense Disambiguation systems show an extremely poor performance on low frequent senses, which is mainly caused by the difference in sense distributions between training and test data.
The Event and Implied Situation Ontology (ESO): Application and Evaluation
This paper presents the Event and Implied Situation Ontology (ESO), a manually constructed resource which formalizes the pre and post situations of events and the roles of the entities affected by an event.
Addressing the MFS Bias in WSD systems
Word Sense Disambiguation (WSD) systems tend to have a strong bias towards assigning the Most Frequent Sense (MFS), which results in high performance on the MFS but in a very low performance on the less frequent senses.
GRaSP: A Multilayered Annotation Scheme for Perspectives
In the last decade, different aspects of linguistic encoding of perspectives have been targeted as separated phenomena through different annotation initiatives.
Using a sledgehammer to crack a nut? Lexical diversity and event coreference resolution
In this paper we examine the representativeness of the EventCorefBank (ECB, Bejan and Harabagiu, 2010) with regards to the language population of large-volume streams of news.
Hope and Fear: How Opinions Influence Factuality
Both sentiment and event factuality are fundamental information levels for our understanding of events mentioned in news texts.
Generating Polarity Lexicons with WordNet propagation in 5 languages
In this paper we focus on the creation of general-purpose (as opposed to domain-specific) polarity lexicons in five languages: French, Italian, Dutch, English and Spanish using WordNet propagation.
Discovering and Visualising Stories in News
Daily news streams often revolve around topics that span over a longer period of time such as the global financial crisis or the healthcare debate in the US.
BiographyNet: Methodological Issues when NLP supports historical research
When NLP is used to support research in the humanities, new methodological issues come into play.
NewsReader: recording history from daily news streams
The European project NewsReader develops technology to process daily news streams in 4 languages, extracting what happened, when, where and who was involved.
DutchSemCor: Targeting the ideal sense-tagged corpus
Word Sense Disambiguation (WSD) systems require large sense-tagged corpora along with lexical databases to reach satisfactory results.
Building a fine-grained subjectivity lexicon from a web corpus
In this paper we propose a method to build fine-grained subjectivity lexicons including nouns, verbs and adjectives.
Mapping WordNet to the Kyoto ontology
This paper describes the connection of WordNet to a generic ontology based on DOLCE.
