Christopher D Phipps

US Patent:

20190228067, Jul 25, 2019

Filed:

Apr 5, 2019

Appl. No.:

16/376338

Inventors:

- Armonk NY, US
Paul J. Chase - Fairfax VA, US
Richard Darden - Leesburg VA, US
Michael Drzewucki - Woodbridge VA, US
Edward G. Katz - Washington DC, US
Christopher Phipps - Arlington VA, US

International Classification:

G06F 17/27
G06F 16/33
G06F 16/332
G06F 16/93

Abstract:

An apparatus comprising a memory and a processor configured for semi-autonomous natural language processing domain adaptation related activities. The processor coupled to the memory and configured to identify a corpus of documents of an evaluation domain and generate a first lexicon based on the corpus of documents of the evaluation domain, and determine a threshold that indicates a sufficiency of domain adaptation of the evaluation domain based at least in part on the first lexicon. The processor is further configured to identify a corpus of documents of a client domain, generate a second lexicon based on the corpus of documents of the client domain, determine a metric associated with the corpus of documents of the client domain and the second lexicon, and determine that domain adaptation of the client domain is complete when the metric exceeds the threshold.

US Patent:

20190147098, May 16, 2019

Filed:

Nov 15, 2017

Appl. No.:

15/814012

Inventors:

- Armonk NY, US
Michael Drzewucki - Woodbridge VA, US
Edward G. Katz - Washington DC, US
Christopher Phipps - Arlington VA, US

International Classification:

G06F 17/30
G06F 17/27
G06F 15/18
G10L 15/01

Abstract:

A method, computer system, and a computer program product for leveraging coherent question sequences is provided. The present invention may include receiving an initiating question. The present invention may include receiving a subsequent question. The present invention may include determining that the received subsequent question is not a rephrasing of the received initiating question. The present invention may also include determining that the received subsequent question is not beginning a new question topic based on determining that the received subsequent question is not a rephrasing of the received initiating question. The present invention may then include propagating a conversational context based on determining that that received subsequent question is not beginning a new question topic. The present invention may include generating and scoring an answer based on the propagated conversational context. The present invention may lastly include outputting the answer.

US Patent:

20180196795, Jul 12, 2018

Filed:

Jan 6, 2017

Appl. No.:

15/400300

Inventors:

- Armonk NY, US
Paul J. Chase - Fairfax VA, US
Richard Darden - Leesburg VA, US
Michael Drzewucki - Woodbridge VA, US
Edward G. Katz - Washington DC, US
Christopher Phipps - Arlington VA, US

International Classification:

G06F 17/27
G06F 17/30

Abstract:

An apparatus comprising a memory and a processor configured for semi-autonomous natural language processing domain adaptation related activities. The processor coupled to the memory and configured to identify a corpus of documents of an evaluation domain and generate a first lexicon based on the corpus of documents of the evaluation domain, and determine a threshold that indicates a sufficiency of domain adaptation of the evaluation domain based at least in part on the first lexicon. The processor is further configured to identify a corpus of documents of a client domain, generate a second lexicon based on the corpus of documents of the client domain, determine a metric associated with the corpus of documents of the client domain and the second lexicon, and determine that domain adaptation of the client domain is complete when the metric exceeds the threshold.

US Patent:

20170329753, Nov 16, 2017

Filed:

May 12, 2016

Appl. No.:

15/152747

Inventors:

- Armonk NY, US
Michael Drzewucki - Chantilly VA, US
Christopher Phipps - Arlington VA, US
Kristen M. Summers - Takoma Park MD, US
Julie T. Yu - Chantilly VA, US

International Classification:

G06F 17/24
G06F 17/28

Abstract:

A mechanism is provided in a data processing system for identifying nonsense passages. The mechanism annotates an input passage with linguistic features to form an annotated passage. The mechanism counts a number of instances of each type of linguistic feature in the annotated passage to form a set of feature counts. The mechanism determines a value for a metric based on the set of feature counts and compares the value for the metric to a predetermined model threshold. The mechanism identifies whether the input passage is a nonsense passage based on a result of the comparison.

US Patent:

20170329754, Nov 16, 2017

Filed:

May 12, 2016

Appl. No.:

15/152826

Inventors:

- Armonk NY, US
Michael Drzewucki - Chantilly VA, US
Christopher Phipps - Arlington VA, US
Kristen M. Summers - Takoma Park MD, US
Julie T. Yu - Chantilly VA, US

International Classification:

G06F 17/24
G06F 17/28
G06F 17/30

Abstract:

A mechanism is provided in a data processing system for identifying nonsense passages in documents being ingested into a corpus. A natural language processing pipeline configured to execute in the data processing system receives an input document to be ingested into a corpus. The natural language processing pipeline divides the input document into a plurality of input passages. A filter component of the natural language processing pipeline identifies whether each input passage is a nonsense passage based on a value of a metric determined according to a set of feature counts. The natural language processing pipeline filters each input passage in the plurality of input passages based on whether the input passage is identified as a nonsense passage or not identified as a nonsense passage to form a filtered plurality of input passages. The natural language processing pipeline adds the filtered plurality of input passages into the corpus.

US Patent:

20170329764, Nov 16, 2017

Filed:

May 12, 2016

Appl. No.:

15/152906

Inventors:

- Armonk NY, US
Michael Drzewucki - Chantilly VA, US
Christopher Phipps - Arlington VA, US
Kristen M. Summers - Takoma Park MD, US
Julie T. Yu - Chantilly VA, US

International Classification:

G06F 17/27
G06F 17/30
G06F 17/30
G06F 17/30
G06F 17/24

Abstract:

A mechanism is provided in a data processing system for identifying nonsense passages. An annotator in a natural language processing pipeline configured to execute in the data processing system annotates an input passage in a corpus with linguistic features to form an annotated passage. A domain-specific policy is associated with a domain of the corpus. A metric counters component in the natural language processing pipeline counts a number of instances of each type of linguistic feature in the annotated passage to form a set of feature counts. The metric counters component of the natural language processing pipeline determines a value for a metric based on the set of feature counts. The metric is specified in the domain-specific policy. A comparator component of the natural language processing pipeline compares the value for the metric to a predetermined model threshold. The threshold is specified in the domain-specific policy. A filter component of the natural language processing pipeline identifies whether the input passage is a nonsense passage based on a result of the comparison.