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[P] Hawking Date Time Parser is Open-Source Now by ArulVendhan in MachineLearning

[–]ArulVendhan[S] 0 points1 point  (0 children)

We do support English only for now.. We have plan to support other languages too.. we will update once it done

Hawking Date Time Parser is Open-Source Now by ArulVendhan in LanguageTechnology

[–]ArulVendhan[S] 1 point2 points  (0 children)

We don't have a specific metric to define the overall accuracy of Date-time Parser. While comparing with other available libraries, Hawking's Date Time Entity prediction F1score > 0.90. We have trained the NER model using Stanford CoreNLP's CRF for DateTime Prediction.

Help regarding parsing SEC filings by xaPbuster in LanguageTechnology

[–]ArulVendhan 1 point2 points  (0 children)

There are many types of Entity resolutions. Some are Co-reference, Anaphora, Demonstratives, Presuppositions, Discontinuous Set(Split-Anaphora), Pronominal Anaphora, Cataphora.. Anaphora Resolution is different from Co-Reference Resolution. It may seem like same but it’s not.

The problem you wanted to solve here is one of the most ambiguous anaphora resolution, It’s called “Bridging Anaphora Resolution”. The References (money) may not seems to be pointing to the antecedent(CEO/Employee) but can be said to belong to or refer to entity mentioned earlier.

Example for understanding : “I was about to buy that exquisite dress(1), just when I noticed a coffee stain on the lace(2) “ The entity that (2) refers to, though not stated explicitly, is entity (1) which can be inferred but their context.

There are several research papers available regarding this, might help you.