Keyword Extraction
25 papers with code • 3 benchmarks • 5 datasets
Keyword extraction is tasked with the automatic identification of terms that best describe the subject of a document (Source: Wikipedia).
Benchmarks
These leaderboards are used to track progress in Keyword Extraction
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Datasets
MPQA Opinion Corpus
SemEval-2017 Task-10
Latest papers with no code
Thematic context vector association based on event uncertainty for Twitter
The extraction of keywords with respective contextual events in Twitter data is a big challenge.
JobHam-place with smart recommend job options and candidate filtering options
However, most job-hunting websites lack job recommendation and CV filtering or ranking functionality, which are not integrated into the system.
A method for incremental discovery of financial event types based on anomaly detection
Event datasets in the financial domain are often constructed based on actual application scenarios, and their event types are weakly reusable due to scenario constraints; at the same time, the massive and diverse new financial big data cannot be limited to the event types defined for specific scenarios.
Word Embedding Neural Networks to Advance Knee Osteoarthritis Research
Although knee OA carries a list of well-known terminology aiming to standardize the nomenclature of the diagnosis, prognosis, treatment, and clinical outcomes of the chronic joint disease, in practice there is a wide range of terminology associated with knee OA across different data sources, including but not limited to biomedical literature, clinical notes, healthcare literacy, and health-related social media.
Norm of Word Embedding Encodes Information Gain
Distributed representations of words encode lexical semantic information, but what type of information is encoded and how?
Improving Performance of Automatic Keyword Extraction (AKE) Methods Using PoS-Tagging and Enhanced Semantic-Awareness
Automatic keyword extraction (AKE) has gained more importance with the increasing amount of digital textual data that modern computing systems process.
Multi-view Semantic Matching of Question retrieval using Fine-grained Semantic Representations
Distinct from the previous solutions, we propose to construct fine-grained semantic representations of a question by a learned importance score assigned to each keyword, so that we can achieve a fine-grained question matching solution with these semantic representations of different lengths.
Keyword Extraction from Short Texts with a Text-To-Text Transfer Transformer
The paper explores the relevance of the Text-To-Text Transfer Transformer language model (T5) for Polish (plT5) to the task of intrinsic and extrinsic keyword extraction from short text passages.
Retrieval-efficiency trade-off of Unsupervised Keyword Extraction
Efficiently identifying keyphrases that represent a given document is a challenging task.
UNIMIB at TREC 2021 Clinical Trials Track
We have investigated the effect of different query representations combined with several retrieval models on the retrieval performance.
